654 search results - page 24 / 131 » TRUST-TECH based Methods for Optimization and Learning |
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
104
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EWCBR
2004
Springer
15 years 6 months ago
2004
Springer
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
94
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
114
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ICMCS
2006
IEEE
15 years 6 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
75
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Geometric methods are very intuitive and provide a theoretically solid viewpoint to many optimization problems. SVM is a typical optimization task that has attracted a lot of atte...