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» Using model knowledge for learning inverse dynamics
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151
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CA
1999
IEEE
15 years 8 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
136
Voted
IJON
2010
119views more  IJON 2010»
15 years 2 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
119
Voted
HICSS
2009
IEEE
168views Biometrics» more  HICSS 2009»
15 years 10 months ago
Enabling Distributed Model Management Using Semantic Web Technologies
In today’s increasingly dynamic and competitive business environment, organizations strive to leverage their information resources to gain and sustain competitive advantage. Deci...
Amit V. Deokar, Omar F. El-Gayar
139
Voted
ICPP
2006
IEEE
15 years 9 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
143
Voted
COR
2008
142views more  COR 2008»
15 years 3 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel