2868 search results - page 393 / 574 » Inference in Bayesian Networks |
129
click to vote
FLAIRS
2001
15 years 6 months ago
2001
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
139
Voted
FLAIRS
2009
15 years 2 months ago
2009
In this paper, we put forth the first join tree propagation algorithm that selectively applies either arc reversal (AR) or variable elimination (VE) to build the propagated messag...
152
click to vote
ICMLA
2009
15 years 2 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
163
click to vote
CSDA
2011
14 years 12 months ago
2011
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
190
click to vote
ICANN
2011
Springer
14 years 8 months ago
2011
Springer
Abstract. We present a Bayesian translational model for matching patterns in data sets which have neither co-occurring samples nor variables, but only a similar experiment design d...