2218 search results - page 237 / 444 » Bayesian Treed Models |
149
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
149
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NIPS
2004
15 years 5 months ago
2004
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
150
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ASC
2000
15 years 5 months ago
2000
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
166
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ECAI
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
128
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AI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...