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Probabilistic Inference for Fast Learning in Control
Lecture Notes in Computer Science - Recent Advances in Reinforcement Learning
◽
10.1007/978-3-540-89722-4_18
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2008
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pp. 229-242
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Cited By ~ 7
Author(s):
Carl Edward Rasmussen
◽
Marc Peter Deisenroth
Keyword(s):
Probabilistic Inference
◽
Fast Learning
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References
Task information and performance in probabilistic inference tasks.
PsycEXTRA Dataset
◽
10.1037/e407242004-001
◽
1976
◽
Author(s):
Berndt Brehmer
◽
Jan Kuylenstierna
◽
Jan-Erik Liljergren
Keyword(s):
Probabilistic Inference
◽
And Performance
Download Full-text
Response consistency in probabilistic inference tasks.
PsycEXTRA Dataset
◽
10.1037/e411142004-001
◽
1976
◽
Author(s):
Berndt Brehmer
Keyword(s):
Probabilistic Inference
◽
Response Consistency
Download Full-text
Faculty Opinions recommendation of Improved probabilistic inference as a general learning mechanism with action video games.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.5219956.5159054
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2010
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Author(s):
Michele A Basso
Keyword(s):
Video Games
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Probabilistic Inference
◽
Learning Mechanism
◽
Action Video Games
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Fast Learning of Generalized Minimum Enclosing Ball for Large Datasets
ACTA AUTOMATICA SINICA
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10.3724/sp.j.1004.2012.01831
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2012
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Vol 38
(11)
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pp. 1831
Author(s):
Wen-Jun HU
◽
Shi-Tong WANG
◽
Juan WANG
◽
Wen-Hao YING
Keyword(s):
Large Datasets
◽
Fast Learning
◽
Minimum Enclosing Ball
Download Full-text
Computational Techniques for Probabilistic Inference
10.21236/ada244814
◽
1991
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Author(s):
Edward H. Shortliffe
◽
Gregory F. Cooper
Keyword(s):
Probabilistic Inference
◽
Computational Techniques
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Sound probabilistic inference via guide types
Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation
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10.1145/3453483.3454077
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2021
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Author(s):
Di Wang
◽
Jan Hoffmann
◽
Thomas Reps
Keyword(s):
Probabilistic Inference
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Tabular: Probabilistic Inference from the Spreadsheet
Foundations of Probabilistic Programming
◽
10.1017/9781108770750.015
◽
2020
◽
pp. 489-532
Keyword(s):
Probabilistic Inference
Download Full-text
Model NOx Emissions Emitted from Coal-fired Boilers Based on Differential Evolution Fast Learning Network
Journal of Physics Conference Series
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10.1088/1742-6596/1624/2/022029
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2020
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Vol 1624
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pp. 022029
Author(s):
Zhiwen Shen
◽
Qingwei Li
Keyword(s):
Differential Evolution
◽
Nox Emissions
◽
Learning Network
◽
Fast Learning
◽
Fast Learning Network
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An Improved Initialization Method for Fast Learning in Long Short-Term Memory based Markovian Spectrum Prediction
IEEE Transactions on Cognitive Communications and Networking
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10.1109/tccn.2020.3046330
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2020
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pp. 1-1
Author(s):
Niranjana Radhakrishnan
◽
Sithamparanathan Kandeepan
Keyword(s):
Short Term Memory
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Short Term
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Spectrum Prediction
◽
Term Memory
◽
Fast Learning
◽
Long Short Term Memory
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Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability
Energy
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10.1016/j.energy.2021.120035
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2021
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Vol 223
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pp. 120035
Author(s):
Aditya Dhoot
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Enrico G.A. Antonini
◽
David A. Romero
◽
Cristina H. Amon
Keyword(s):
Computational Efficiency
◽
Energy Production
◽
Probabilistic Inference
◽
Wind Farms
◽
Maximum Energy
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