654 search results - page 23 / 131 » TRUST-TECH based Methods for Optimization and Learning |
112
Voted
KDD
2009
ACM
16 years 1 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
101
Voted
FLAIRS
2004
15 years 2 months ago
2004
This paper presents a new approach for combining different semantic disambiguation methods that are part of a Word Sense Disambiguation(WSD) system. The way these methods are comb...
103
Voted
ICMCS
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper, we propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution ...
101
click to vote
ICTAI
2009
IEEE
15 years 7 months ago
2009
IEEE
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
127
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...