654 search results - page 4 / 131 » TRUST-TECH based Methods for Optimization and Learning |
MICAI
2004
Springer
15 years 7 months ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
119
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ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
121
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ICIAR
2009
Springer
15 years 9 months ago
2009
Springer
Face hallucination is to reconstruct a high-resolution face image from a low-resolution one based on a set of high- and low-resolution training image pairs. This paper proposes an ...
128
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
149
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TAL
2010
Springer
15 years 25 days ago
2010
Springer
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...