654 search results - page 4 / 131 » TRUST-TECH based Methods for Optimization and Learning |
MICAI
2004
Springer
15 years 6 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...
103
Voted
ICML
1998
IEEE
16 years 1 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...
109
Voted
ICIAR
2009
Springer
15 years 7 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 ...
115
Voted
ECML
2007
Springer
15 years 6 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...
127
Voted
TAL
2010
Springer
14 years 11 months 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...