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NIPS
2003
15 years 8 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 8 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 8 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 8 months 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
IJAR
2008
106views more  IJAR 2008»
15 years 6 months ago
Probabilistic logic with independence
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jo...