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CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 4 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
EC
2010
176views ECommerce» more  EC 2010»
15 years 2 months ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...
IWPC
2006
IEEE
15 years 10 months ago
How Webmining and Coupling Metrics Improve Early Program Comprehension
During initial program comprehension, software engineers could benefit from knowing the most need-to-beunderstood classes in the system under study in order to kick-start their s...
Andy Zaidman, Bart Du Bois, Serge Demeyer
ECAI
2004
Springer
15 years 10 months ago
Explaining the Result of a Decision Tree to the End-User
This paper addresses the problem of the explanation of the result given by a decision tree, when it is used to predict the class of new cases. In order to evaluate this result, the...
Isabelle Alvarez
SIGIR
1999
ACM
15 years 9 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann