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FLAIRS
2003
15 years 1 months ago
Algorithms for Large Scale Markov Blanket Discovery
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
NIPS
2003
15 years 1 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
AAAI
2000
15 years 1 months ago
Semantics and Inference for Recursive Probability Models
In recent years, there have been several proposals that extend the expressive power of Bayesian networks with that of relational models. These languages open the possibility for t...
Avi Pfeffer, Daphne Koller
UAI
2003
15 years 1 months ago
Practically Perfect
We prove that perfect distributions exist when using a finite number of bits to represent the parameters of a Bayesian network. In addition, we provide an upper bound on the prob...
Christopher Meek, David Maxwell Chickering
AAAI
1990
15 years 26 days ago
Probabilistic Semantics for Cost Based Abduction
Cost-based abduction attempts to find the best explanation for a set of facts by finding a minimal cost proof for the facts. The costs are computed by summing the costs of the ass...
Eugene Charniak, Solomon Eyal Shimony