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» Using Bayesian networks to analyze expression data
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KDD
1998
ACM
113views Data Mining» more  KDD 1998»
15 years 2 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
PPSN
2004
Springer
15 years 3 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
ECAI
2010
Springer
14 years 11 months ago
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling
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 ...
Daan Fierens
IICAI
2003
14 years 11 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard