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» On the Complexity of Function Learning
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142
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JAIR
2002
134views more  JAIR 2002»
15 years 3 months ago
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
Alan Fern, Robert Givan, Jeffrey Mark Siskind
126
Voted
ISORC
2006
IEEE
15 years 9 months ago
Complexity Management for Composable Real-Time Systems
Embedded real-time systems are becoming increasingly complex due to ever increasing size and functionality so that complexity management is of growing importance, especially in de...
Bernhard Rumpler
RSKT
2009
Springer
15 years 10 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
ICML
2003
IEEE
16 years 4 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
160
Voted
IAT
2005
IEEE
15 years 9 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao