317 search results - page 45 / 64 » Opposition-Based Learning: A New Scheme for Machine Intellig... |
CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
99
Voted
CP
2010
Springer
14 years 8 months ago
2010
Springer
We present a new complete multi-valued SAT solver, based on current state-of-the-art SAT technology. It features watched literal propagation and conflict driven clause learning. W...
CIKM
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
102
Voted
FLAIRS
2004
14 years 11 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...