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UAI
1997
13 years 9 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
FOCS
2005
IEEE
14 years 1 months ago
Learning mixtures of product distributions over discrete domains
We consider the problem of learning mixtures of product distributions over discrete domains in the distribution learning framework introduced by Kearns et al. [18]. We give a poly...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
EMO
2005
Springer
107views Optimization» more  EMO 2005»
14 years 1 months ago
Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network
Water systems often allow efficient water uses via water reuse and/or recirculation. Defining the network layout connecting water-using processes is a complex problem which involv...
Carlos E. Mariano-Romero, Víctor Alcocer-Ya...
ICML
2004
IEEE
14 years 8 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
ICML
1996
IEEE
14 years 8 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami