JinaVDR (Visual Document Retrieval)
Collection
max. ~1000 images and OCR text included • 42 items • Updated • 8
query stringclasses 70
values | image_filename stringlengths 121 124 | image imagewidth (px) 1.01k 3.29k | text_description stringlengths 4 8.91k |
|---|---|---|---|
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_249.jpg | NICON Nexus 1.8.5 Product Guide
Manually Labeling Trial Data
Manually label reconstructed trial data for each active subject in the Label/Edit tools pane
Nexus Motion Capture Workflow:
ll. Prepare subject.
33 Manually label reconstructed markers.
Manual file) wit labeling involves associating the markers defined ... | ||
What is the micromort, and how is it used in safety analysis? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_635.jpg | 616
MICROMORT
QALY
MONOTONIC: PREFERENCE
EXPECTED MONETARY VALUE
Chapter 16. Making Simple Decisions
Some attempts have been made to find out the value that people place on their own lives. One common “currency” used in medical and safety analysis is the micromort, a one in a million chance of death. If you ask p... | |
What is the difference between the straw-man and baseline single-tree update experiments? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f1aedd45-cf9d-4463-b37b-def43ecacf23.pdf/page_107.jpg | supervisor parser described above. The grammar hierarchy was the same as the supervisor’s, except that it did not include a multitree inference filter, and did not use the classifiers — it utilized only the PseudolTG and fertility grammar as described in the previous section.
We then constructed the inference lexicon ... | |
What commands can be used to display system settings and configurations? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2062cc22-cff3-4a7d-a911-9b8e78e2aaa9.pdf/page_363.jpg | Content Analysis - 3.1
Syntax
> quit
show
Display information about the system and settings.
NOTE
These commands are available in standard and enable modes.
Syntax
(config)# show ? ppliance-csr Show appliance certificate signing requests (CSR). anner-message anner-status Display pre-authentication consent banne... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_529.jpg | PROBABILISTIC REASONING
In which we explain how to build network models to reason under uncertainty according to the laws of probability theory.
Chapter 13 introduced the basic elements of probability theory and noted the importance of independence and conditional independence relationships in simplifying probabilist... | ||
What did Benjamin Wellington's 2007 PhD thesis at New York University focus on? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f1aedd45-cf9d-4463-b37b-def43ecacf23.pdf/page_156.jpg | [Vapnik1995] Vladimir Vapnik. 1995. The Nature of Statistical Learning Theory. Springer New York.
[Venkatapathy and Bangalore2009] Sriram Venkatapathy and Srinivas Bangalore. 2009. Discriminative machine translation using global lexical selection. 8(2):8:1- 8:23, May.
[Vogel et al.1996] Stephan Vogel, Hermann Ney, an... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/98e3c04d-5b35-48e7-b4e4-81fa1fc116bb.pdf/page_327.jpg | TYPICAL ETTAP PROCESS
Suppose there’s a course at one of the twelve bases in the Air Education and Training Command; let’s say it’s a course on Leadership. And the instructor goes to a trade show or reads a journal and discovers a new technology — a computer game, for instance — that he thinks will help his students l... | ||
How can the orientation of texture be characterized? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_958.jpg | Section 24.2. Early Image-Processing Operations
As in one dimension, to form the gradient we don’t compute VJ, but rather V (I *« N,), the gradient after smoothing the image by convolving it with a Gaussian. And again, the shortcut is that this is equivalent to convolving the image with the partial derivatives of a Ga... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_9.jpg | NICON Nexus 1.8.5 Product Guide
Nexus Components
Nexus is part of the fully integrated and expandable Vicon system that lets you build an architecture best suited to your motion capture application
In this architecture diagram, Nexus is installed on the MX host PC. For more architecture diagrams, see the Go Further ... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/ad1ed238-34b3-4043-bc5c-b080fa36f07e.pdf/page_3.jpg | >
“Technology- driven transformation provides exciting opportunities for automotive companies and service providers that are fast, agile, and innovative.”
Hagen Heubach Director Automotive Industry Business Unit SAP SE
SAP Industries White Papel
te company
All
WELCOME Dear Customers,
Throughout boardrooms and in... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2e212c0e-8276-4589-a9ac-0864f7cfba19.pdf/page_102.jpg | name is also used for the tracker file, video file (if trimmed to clip), HTML information file and thumbnail file as described in Anatomy of a Tracker ZIP file above.
3. The Cancel button closes the dialog. It does not clear the fields, so when you reopen the dalog you not need to re-enter the information.
4. Sharing... | ||
What was the issue with the initial design of the cotton harvesting system and how was it addressed? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/46faa5bb-03f2-4fd2-b761-a2efd9d940a9.pdf/page_4.jpg | AgriEngineering 2021, 3
and IMU were configured for an update rate of 10 Hz, while the GPS was set to 5 Hz. The robot can be programmed to perform specific tasks like mapping, navigation, and obstacle avoidance through its onboard PC (mini-ITX) running on the Ubuntu 16.04 operating system and the Robot Operating Syste... | |
What is one of the biggest challenges to making an environment clonable for FileNet Content Manager? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_319.jpg | This approach has been proven to work, but the effort to maintain this type of script is huge and every change must be put into the script code. All of the benefits of using a tool, such as the IBM Administration Console for Content Platform Engine (ACCE) (or IBM FileNet Enterprise Manager, are lost with this approach.... | |
What is the key algorithmic difference between temporal difference learning and adaptive dynamic programming? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_856.jpg | Section 21.2. Passive Reinforcement Learning
function PASSIVE-TD-AGENT(percept) returns an action inputs: percept, a percept indicating the current state s’ and reward signal r’ persistent: 7, a fixed policy U, a table of utilities, initially empty Ng, a table of frequencies for states, initially zero 8, a, r, the pre... | |
What is one of the recommended practices mentioned for reducing dependencies? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_318.jpg | » Separation of commercial code from custom code and automation of the build process mainly for Java EE based or .NET based applications
» Adherence to the proposed guideline of stable GUIDs to reduce dependencies
> Implementation of a central datastore (database-based or file-based) in which environment-specific inf... | |
What are some important works on representing parts and wholes in knowledge representation? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_489.jpg | 470
MEREOLOGY
SYNTACTIC THEORY
Chapter 12. Knowledge Representation
Doubts about the feasibility of a single ontology for all knowledge are expressed by Doctorow (2001), Gruber (2004), Halevy et al. (2009), and Smith (2004), who states, “the initial project of building one single ontology ...has ...largely been aba... | |
What was the purpose of establishing a common reference coordinate between the robot base and plant location? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/46faa5bb-03f2-4fd2-b761-a2efd9d940a9.pdf/page_10.jpg | AgriEngineering 2021, 3
2.4. Cotton Boll Harvest
To harvest the cotton bolls on the plant, a common reference coordinate was first established between the robot base with respect to the plant location, as shown in Figure 11. Both the relative positions of the cotton bolls and the nozzle was then defined from this ref... | |
What are the strategic priorities identified by automotive organizations to position themselves for the future of mobility? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/ad1ed238-34b3-4043-bc5c-b080fa36f07e.pdf/page_3.jpg | >
“Technology- driven transformation provides exciting opportunities for automotive companies and service providers that are fast, agile, and innovative.”
Hagen Heubach Director Automotive Industry Business Unit SAP SE
SAP Industries White Papel
te company
All
WELCOME Dear Customers,
Throughout boardrooms and in... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/c3e89133-6211-4258-a444-77eac525d431.pdf/page_131.jpg | Assistive Technology for Learning Impairment
Complicated user interfaces can interfere with User interface engineers found that an emph. a consistent user experience had the greatest positive impact on i iduals with processing problems. Additional computer settings such as adjustable text
and screen element sizes, sp... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/addf05ca-3e9a-4a1e-8076-c9a1286178a9.pdf/page_461.jpg | Route Rehearsal Time by Training Media
Another interesting finding from this research is shown in this graph. Rehearsal times in the VE training group improved dramatically relative to changes in rehearsal times of the other two groups. I believe this means that subjects in the VE group were not just learning the rout... | ||
What are some potential risks of introducing artificial intelligence agents into corporate boardrooms? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/28874136-467f-4efc-b29b-b0585f18e327.pdf/page_39.jpg | 2020]ARTIFICIAL AGENTS IN CORPORATE BOARDROOMS 907
hardly solvable. In particular, should AI evolve into a level of consciousness, risks of suffering for AI and uncertain scenarios for both artificial agents and society would arise. Regarding risks of suffering for AI, if artificial agents developed the ability to suf... | |
What do children with learning disabilities need from their parents? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/75acb959-5891-4230-8d30-2c43016bc078.pdf/page_8.jpg | Two fundamental points need to be understood. To begin with, the learning different student will not outgrow the neurologically based auditory and visual processing dysfunction that led to his/her observable learning difficulties. Secondly, although the student may appear to be lazy and not trying, these characterizati... | |
What is the purpose of manually labeling trial data? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_249.jpg | NICON Nexus 1.8.5 Product Guide
Manually Labeling Trial Data
Manually label reconstructed trial data for each active subject in the Label/Edit tools pane
Nexus Motion Capture Workflow:
ll. Prepare subject.
33 Manually label reconstructed markers.
Manual file) wit labeling involves associating the markers defined ... | |
What are the recommended actions regarding Hyland's AI-enabled products and services? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/c4bd5c71-7db0-4c83-96e3-7cc53e1893a3.pdf/page_29.jpg | Al Enabled Services and Software
What information about the Al models in use is provided/available to the user? See the Brainware evaluation for information related to Al and capture.
Alternatively, if a rules-based system, how much can the user ‘tweak’ the rules?
Technologies like workflow automation, business logi... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/18d03203-ac1d-4622-b768-03dd6395fc34.pdf/page_88.jpg | ca)
Progress in Robot Road-Following
R. Wallace, K, Matsuzaki, ¥. Goto,
J. Crisman, J. Webb, T. Kanade
Robotics [nstitute, Carnegle-Mellon University
Abstract
We report progress in visual road following by autonomous robot vehicles. We present results and work in progress in the areas of system architecture, imag... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2062cc22-cff3-4a7d-a911-9b8e78e2aaa9.pdf/page_453.jpg | Content Analysis - 3.1
Files Submitted via API
« When an API submits a file to Content Analysis for AV/ML scanning, the AV/ML scanning results are returned via the AV/ML WebSocket, and on-box sandboxing verdicts are returned via the MA WebSocket channel.
« When on-box sandboxing is enabled on CA but real-time sandbo... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_31.jpg | NICON Nexus 1.8.5 Product Guide
3. Click Apply to preview the changed button location on the Nexus toolbar. If you are not happy with the result, change the position again in the Customize Toolbar dialog box and preview the position again.
4. Click OK to save the customized toolbar and close the dialog box.
To group... | ||
What feature do the T-Series, F-Series, and MX+ cameras from Vicon have? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_9.jpg | NICON Nexus 1.8.5 Product Guide
Nexus Components
Nexus is part of the fully integrated and expandable Vicon system that lets you build an architecture best suited to your motion capture application
In this architecture diagram, Nexus is installed on the MX host PC. For more architecture diagrams, see the Go Further ... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2062cc22-cff3-4a7d-a911-9b8e78e2aaa9.pdf/page_417.jpg | Content Analysis - 3.1
Syntax
(config-ma-settings)# rapi ? enable authentication [true | false] Specify whether API calls to RAPI and Pub-Sub API! must be authenticated with security tokens. Default: enabled max sample size <value> Specify the maximum size of a submitted file, in megabytes. Default: 100 sample _resou... | ||
What were the key findings from the experiment comparing MinMerge and Viterbi semiring? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f1aedd45-cf9d-4463-b37b-def43ecacf23.pdf/page_137.jpg | positive confidences and 0.271 for features with negative confidences, whereas the average magnitude confidence for the 2x2 composition classifiers trained on single tree updates with permissive labeling was 0.127 for features with positive confi- dences and 0.178 for features with negative confidences. The features th... | |
What are the two fundamental points that need to be understood regarding students with learning disabilities? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/75acb959-5891-4230-8d30-2c43016bc078.pdf/page_8.jpg | Two fundamental points need to be understood. To begin with, the learning different student will not outgrow the neurologically based auditory and visual processing dysfunction that led to his/her observable learning difficulties. Secondly, although the student may appear to be lazy and not trying, these characterizati... | |
How is the conditional log likelihood of the query atoms given the evidence calculated? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/1181f7cf-2fdd-449b-8037-943d87bfede8.pdf/page_45.jpg | modifications: exact inference and l,-regularization. This section describes these two modifications.
First, given the restricted nature of the clauses constructed by ALEPH, we can use an efficient exact probabilistic inference method when learning the weights instead of the approximate inference algorithm that is use... | |
What does the PEI model help evaluate? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/98e3c04d-5b35-48e7-b4e4-81fa1fc116bb.pdf/page_65.jpg | PEI CASES
Three cases to demonstrate how PEI model can be applied to evaluate effectiveness of the learning modules with the integration of different media, model and interactivity elements.
Figure 17
53 PEI Cases oe et Case 1: The PEI for a course with one media element, one learning style, and one interactive elem... | |
What strategies do students learn for addition and subtraction problems? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/243a7064-4421-4d9d-af36-bad7718b0223.pdf/page_68.jpg | dreambox’ LEARNING
tip t( 22
GRADE 4
Addition & Subtraction
« Addition Algorithm. Students use the standard addition algorithm and a place value workspace to solve addition problems involving up to three digit addends.
+ Subtraction Algorithm. Students use the standard subtraction algorithm and a place value works... | |
What are the two main approaches for solving Markov Decision Processes with continuous state spaces? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f5f1fef1-c86a-4f7d-a7f0-a9b7678f72ec.pdf/page_21.jpg | Problem Variations
> > deterministic (no noise v;, W;) vs stochastic fully observable (z; = x;) vs partially observable (z; ~ pp(-|xz)) > fully observable: Markov Decision Process (MDP)
> partially observable: Partially Observable Markov Decision Process (POMDP) stationary vs nonstationary (time-dependent py .¢, Pht,... | |
How does the Vision module work in the road-following system? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/18d03203-ac1d-4622-b768-03dd6395fc34.pdf/page_88.jpg | ca)
Progress in Robot Road-Following
R. Wallace, K, Matsuzaki, ¥. Goto,
J. Crisman, J. Webb, T. Kanade
Robotics [nstitute, Carnegle-Mellon University
Abstract
We report progress in visual road following by autonomous robot vehicles. We present results and work in progress in the areas of system architecture, imag... | |
What is a switching Kalman filter? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_627.jpg | 608
Chapter 15. Probabilistic Reasoning over Time
&)— 6)
Figure 15.21 A Bayesian network representation of a switching Kalman filter. The switching variable S; is a discrete state variable whose value determines the transition model for the continuous state variables X;. For any discrete state i, the transition mode... | |
Why are technology use protocols important? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/addf05ca-3e9a-4a1e-8076-c9a1286178a9.pdf/page_403.jpg | Technology Use Protocols
Technology use protocols are shared agreements about how to use learning technologies. To be effective they must be created by the people who are using the technologies rather than being dictated by organization leadership or technical specialists.
Technology Use Protocols a Shared agreements... | |
What are the different ways to share Tracker ZIP files? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2e212c0e-8276-4589-a9ac-0864f7cfba19.pdf/page_102.jpg | name is also used for the tracker file, video file (if trimmed to clip), HTML information file and thumbnail file as described in Anatomy of a Tracker ZIP file above.
3. The Cancel button closes the dialog. It does not clear the fields, so when you reopen the dalog you not need to re-enter the information.
4. Sharing... | |
Why were SCAN-ECHO program funds reduced after the first few years? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f9d429f8-9428-4f0e-b684-6946ed5510e1.pdf/page_169.jpg | Figure E.5. Map of VA’s VISNs and SCAN-ECHO Hub Sites
pce West Haven ct vIsN +x VASCAN-ECHO
Initial funding was intended to support such activities as program administration, outreach to potential spoke sites, and coverage for the cost of the expert telementors (i.e., the specialists but not the generalist mentees). ... | |
What is the approach of EUREX D for dealing with failure superpositions? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/22ba8f72-3913-46dd-bae6-d3f70d360327.pdf/page_130.jpg | 6. FUNCTIONAL SCOPE
EUREX D displays the following functional scope corresponding to the requirements tisted in the introduction :
o Early warning and treatment of incomplete information :
Due to this fact that the reasoning mechanism is based on multi-valued logic and can process non-conclusive evidence, the system... | |
What was the purpose of the Training Workshop on Advanced Learning Technologies and Learning Networks? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/98e3c04d-5b35-48e7-b4e4-81fa1fc116bb.pdf/page_423.jpg | REPORT DOCUMENTATION PAGE
Be
pee
The public
burden for this collection of information is estimated to
1 hour
including the time for
instructions, searching existingdata Collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services, Directora... | |
What is the difference between an optimized for sandboxing deployment and a two-box deployment in Content Analysis? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2062cc22-cff3-4a7d-a911-9b8e78e2aaa9.pdf/page_453.jpg | Content Analysis - 3.1
Files Submitted via API
« When an API submits a file to Content Analysis for AV/ML scanning, the AV/ML scanning results are returned via the AV/ML WebSocket, and on-box sandboxing verdicts are returned via the MA WebSocket channel.
« When on-box sandboxing is enabled on CA but real-time sandbo... | |
Where and when was the Training Workshop on Advanced Learning Technologies and Learning Networks held? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/98e3c04d-5b35-48e7-b4e4-81fa1fc116bb.pdf/page_423.jpg | REPORT DOCUMENTATION PAGE
Be
pee
The public
burden for this collection of information is estimated to
1 hour
including the time for
instructions, searching existingdata Collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services, Directora... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_318.jpg | » Separation of commercial code from custom code and automation of the build process mainly for Java EE based or .NET based applications
» Adherence to the proposed guideline of stable GUIDs to reduce dependencies
> Implementation of a central datastore (database-based or file-based) in which environment-specific inf... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_141.jpg | NICON Nexus 1.8.5 Product Guide
Visualizing Data in 3D Perspective
Visualize reconstructed motion capture data from all active Vicon cameras or Vicon Skeleton Templates (.vsé) or Vicon Skeleton (.vs&k) files in 3D perspective in the 3D Perspective view pane.
Vicon System Setup:
ll, Calibrate the Vicon system. 1, Ca... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/1ea32637-2e50-4a1f-bc23-525831e27e72.pdf/page_62.jpg | 5. BNPL and Consumer Financial Health
5.1 Introduction
At their core, the benefits and risks that BNPL provides borrowers are two sides of the same coin, one that defines much of today’s digital and mobile experiences: free and seamless. More than just a phrase, it encapsulates a high-level business strategy shared b... | ||
What is the purpose of the Zero Level function in Nexus? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_96.jpg | NICON Nexus 1.8.5 Product Guide
The sensitivity values you must specify depend upon the type of force plate as shown in the following table. Supported Force Manufacturer Supplied Units Nexus Required Units Plate Force Moment Channels Channels AMTI Hall Effect United States Customary (USC) units Ib/V Ib/V Plate (AccuGa... | |
What are some common outcome areas targeted by TAII for different age groups? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/c9f7c490-b494-41cd-b3c3-f126cea6ba79.pdf/page_129.jpg | Name of EBP
Technology-Aided Instruction and Intervention (TAII)
Definition of EBP
Technology-Aided Instruction and Interventions (TAII) are those in which technology is the central feature of an intervention. Given the rapid rise in the inclusion of technology in interventions, this evidence base is more focused to... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f1983085-72c1-4bd3-9e0b-40e9790d43fe.pdf/page_50.jpg | a place to write comments to another assessor who has been assigned the responsibility to answer the question.
NOTE: If you do not make a risk-based decision, you are not required by the application to provide comments. However, if you make a risk-based decision or answer Question Not Applicable, you must provide comm... | ||
What is the termination condition in parsing algorithms? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f1aedd45-cf9d-4463-b37b-def43ecacf23.pdf/page_47.jpg | learn some parts of the grammar. We elaborate on grammar learning in Section 4.5.5
Semiring The grammar assigns a cost to an inference. To assign a cost to an item, and consequently the multitree it represents, we use a semiring. A semiring R is an algebraic structure consisting of a set (the domain of the semiring), ... | |
What is the example used to illustrate the value of information? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_648.jpg | Section 16.6. The Value of Information
ie
hardly ever the case. One of the most important parts of decision making is knowing what questions to ask. For example, a doctor cannot expect to be provided with the results of all possible diagnostic tests and questions at the time a patient first enters the consulting room... | |
What insights does DreamBox provide to education leaders? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/243a7064-4421-4d9d-af36-bad7718b0223.pdf/page_57.jpg | dreambox LEARNING
Administrator Reports that Monitor Growth and Proficiency
The DreamBox Administrator Dashboard provides key data for principals, math coaches, district administrators, and school program monitors. DreamBox provides education leaders with insights about usage, proficiency, and progress so they unders... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/02cc0b44-78d5-435c-bbb4-93aed64a285d.pdf/page_7.jpg | ABSTRACT
Geospatial intelligence is readily available to tactical-level leaders for mission planning, but few analytical models exist or are directly available for exploitation by end-users. This capability gap results in a slower planning process that decreases in comprehensibility and precision as time and support a... | ||
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/02cc0b44-78d5-435c-bbb4-93aed64a285d.pdf/page_55.jpg | 3.3.1 Helicopter Landing Suitability Overlays
Rasterized slope and land cover data are routinely used by military and civilian organizations to create HLS overlays (Kovarik and Rybansky 2014). When using raster data to filter terrain for suitability, the overlay will refer to a per-pixel area that meets specified crit... | ||
What are the main approaches for representing mental objects in Artificial Intelligence? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/83acc7e2-fa92-4918-89be-0aa342693b91.pdf/page_489.jpg | 470
MEREOLOGY
SYNTACTIC THEORY
Chapter 12. Knowledge Representation
Doubts about the feasibility of a single ontology for all knowledge are expressed by Doctorow (2001), Gruber (2004), Halevy et al. (2009), and Smith (2004), who states, “the initial project of building one single ontology ...has ...largely been aba... | |
What is Markov Logic Networks? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/1181f7cf-2fdd-449b-8037-943d87bfede8.pdf/page_10.jpg | Improving the Accuracy and Scalability of Discriminative Learning Methods
for Markov Logic Networks
Publication No.
Tuyen Ngoc Huynh, Ph.D.
The University of Texas at Austin, 2011
Supervisor: Raymond J. Mooney
Many real-world problems involve data that both have complex struc- tures and uncertainty. Statistical r... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_19.jpg | NICON Nexus 1.8.5 Product Guide
Time Bar Data Displayed in Workspace
Mouse vtdft/atOp Cald PildYOdCK NWIIOQIE-CHCK Jog forward/backward through data playback Rotate mouse wheel forward/backward Move Current Time Cursor to specific frame Left-click frame in the timeline Move Start Range Frame Cursor back to zero frame... | ||
What are the two main stages in the lifecycle of most deep learning applications? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/2b0999a4-1632-4890-8e17-0919a4ca7e25.pdf/page_3.jpg | TRANSFERABILITY IN DEEP LEARNING: A SURVEY
1. Introduction
Deep learning (LeCun et al., 2015) is a class of machine learning algorithms that utilize multiple processing layers to learn representations of data with multiple levels of abstraction. These multiple processing layers, also called deep neural networks (DNNs... | |
What is the key difference between SAN and NAS for file storage? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_153.jpg | structure, the upper limit is around 2,500,000 content element files. For a large directory structure, the limit is about 60,000,000 content element files. The number of documents for the file store depends on several factors, such as the type of content being stored, the size of the content, and the type of the file s... | |
data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/d336cfba-17ee-44e2-a6e9-64ab370e70c9.pdf/page_42.jpg | bioRxiv preprint doi: https://doi.org/10.1101/2024.02.22.581599; this version posted March 8, 2024. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 Interna... | ||
What are the benefits of using a script-based approach for creating basic structures in IBM FileNet? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_319.jpg | This approach has been proven to work, but the effort to maintain this type of script is huge and every change must be put into the script code. All of the benefits of using a tool, such as the IBM Administration Console for Content Platform Engine (ACCE) (or IBM FileNet Enterprise Manager, are lost with this approach.... | |
What is the key approach used in the PDP architecture? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/22ba8f72-3913-46dd-bae6-d3f70d360327.pdf/page_165.jpg | PDP Machine 4 37% 4 Input Units Weights” WPSbe<ese Ne “ °S R Q Hidden Rey rove Oc Octet Neve OO 2 @ Output yo ¥ ¥ ¥ Units
Output
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Inputs
PROCESSING UNIT << Outputs W = interconnection weight © = threshold
Transfer function - a sigmoid: Output = 1/{1 + exp(threshold-Sum[w inputs])}
Learning rule:
w + f'(outp... | |
How does the delivery and assessment of course content differ between traditional and asynchronous courses? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/98e3c04d-5b35-48e7-b4e4-81fa1fc116bb.pdf/page_398.jpg | Comparing Models: | Traditional Lecture = Time on task for a traditional residence based course (4 + hrs.) 45-50 Students, Instructor: Lecturer, Presenter Class meets 3 times a week for one hour Discussion and lecture occurs in class Class meets 1 hour a week for the lab Problem solutions need to be graded Labs need to... | |
What happens when a client at the main location initiates a search request on content residing at the satellite location? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/152df954-1c4f-43db-956d-730060a12e84.pdf/page_99.jpg | Figure 3-16 on page 75 shows a system distributed over two locations, a main location and a satellite location. Request forwarding is disabled, which is the default setting.
Load balancer Main Location Dredory server (existing) WAN Directory server (existing ) Content Platform Engine servers Application servers Ss) Lo... | |
What are the main problem variations described for Markov Decision Processes? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/f5f1fef1-c86a-4f7d-a7f0-a9b7678f72ec.pdf/page_21.jpg | Problem Variations
> > deterministic (no noise v;, W;) vs stochastic fully observable (z; = x;) vs partially observable (z; ~ pp(-|xz)) > fully observable: Markov Decision Process (MDP)
> partially observable: Partially Observable Markov Decision Process (POMDP) stationary vs nonstationary (time-dependent py .¢, Pht,... | |
What are the dimensions of the Uranus mobile robot? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/18d03203-ac1d-4622-b768-03dd6395fc34.pdf/page_137.jpg | ,
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The URANUS Mobile Robot
Gregg W. Podnar Robotics Institute Carnegie-Mellon University Pittsburgh, PA 15213
Uranus is a sophisticated vehicle for autonomous mobile robot research. As an omni-directional mobile base, it makes possible experiments in perception, real-world modeling, navig... | |
What preparatory steps are required before manually labeling markers? | data/scrapped_pdfs_split/pages_extracted/artificial_intelligence_test/56d723cb-c0dd-4803-88fe-0a15af11d49d.pdf/page_249.jpg | NICON Nexus 1.8.5 Product Guide
Manually Labeling Trial Data
Manually label reconstructed trial data for each active subject in the Label/Edit tools pane
Nexus Motion Capture Workflow:
ll. Prepare subject.
33 Manually label reconstructed markers.
Manual file) wit labeling involves associating the markers defined ... |
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Creation
This dataset is build upon the corresponding dataset from the ViDoRe Benchmark. For more information regarding the filtering please read our paper or this discussion on github.
Disclaimer
This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data (at) jina.ai" for removal. We do not collect or process personal, sensitive, or private information intentionally. If you believe this dataset includes such content (e.g., portraits, location-linked images, medical or financial data, or NSFW content), please notify us, and we will take appropriate action.
Copyright
All rights are reserved to the original authors of the documents.
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