1489 search results - page 227 / 298 » Monotonicity in Bayesian Networks |
120
Voted
FLAIRS
2001
15 years 5 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...
109
click to vote
NIPS
2000
15 years 5 months ago
2000
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
144
click to vote
UAI
1998
15 years 5 months ago
1998
There is evidence that the numbers in probabilistic inference don't really matter. This paper considers the idea that we can make a probabilistic model simpler by making fewe...
133
click to vote
FLAIRS
2009
15 years 1 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...
146
click to vote
ICMLA
2009
15 years 1 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...