DGL-KE: a high performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.https://github.com/awslabs/dgl-ke Benchmarking GNN:https://github.com/graphdeeplearning/benchmarking-gnns OGB: a collection of realistic, large-scale, and diverse benchmark dataset...
L. Using quizzes to enhance summative-assessment performance in a web-based class: an experimental study. J. Appl. Res. Mem. Cogn. 1, 18–26 (2012). Article Google Scholar Rawson, K. A., Dunlosky, J. & Sciartelli, S. M. The power of successive relearning: improving performance...
These implementations have been tested on several datasets (see the example scripts) and should match the performance of the original implementations. You can find more details on performance in the Examples section of thedocumentation. Learn more ...
Task-Technology Fit Theory: A Survey and Synopsis of the Literature The impact of task-technology fit and appropriation on team performance in repeated tasks. Information Systems Research, 20(1), 2–17. CrossRef ... B Furneaux - Springer New York 被引量: 18发表: 1970年 Task-Technology Fit...
Figure 1 Learning task: Position of whip taps and reinforced response during learning task. Full size image Results Number of trials to reach learning criterion The number of trials to reach the learning criterion differed between treatment groups (χ2 (41) = 10.27 p = 0.006; Fig. ...
How to Get Best Site Performance Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location. Americas América Latina (Español) Canada (English) United States (English) Europe Belgium (English) Denmar...
However, the knowledge libraries or deep networks for most recent lifelong learning models are with prescribed size, and can degenerate the performance for both learned tasks and coming ones when facing with a new task environment (cluster). To address this challenge, we propose a novel ...
In theTask Managerwindow, click thePerformancetab. In the list of performance indicators, look for aGPUoption of theNVIDIAtype. If anNVIDIA GPUis listed, you can runArcGIS Prodeep learning tools inGPUmode, and you’ll obtain a faster performance. ...
Choosing the right observation and action sets is crucial for effective training and performance in reinforcement learning. The observations should provide sufficient information about the current environment state for the agent to make informed decisions, and the actions should be able to adequately steer...
The data is processed on Azure Batch pool, which provides large-scale parallel and high-performance computing Can be used to run heavy algorithms and process significant amounts of data Disadvantages: Azure Batch pool must be created before use with Data Factory Over engineering related to wrappin...