1340 search results - page 101 / 268 » Structure learning of Bayesian networks using constraints |
115
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WEBI
2010
Springer
14 years 9 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
ICTAI
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, we introduce a new partial consistency for constraint networks which is called Structural Consistency of level w and is denoted w-SC consistency. This consistency i...
145
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CVPR
1998
IEEE
16 years 1 months ago
1998
IEEE
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
106
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CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
AAAI
1997
15 years 1 months ago
1997
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...