A Bayesian stochastic search method for discovering Markov boundaries

Knowledge-Based Systems

Volumn 35, Issue , 2012, Pages 211-223

  Masegosa, Andrés R ^a   Moral, Serafín ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Bayesian methods; Feature selection; Markov boundaries; Probabilistic graphical models; Stochastic search

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN METHODS; DATA SETS; EXPERIMENTAL EVALUATION; EXPERT KNOWLEDGE; HUMAN INTERVENTION; LEARNING PROCESS; MARKOV BOUNDARY; OBSERVATIONAL DATA; POSTERIORI; PROBABILISTIC GRAPHICAL MODELS; STATE-OF-THE-ART APPROACH; STATISTICAL INDEPENDENCE; STOCHASTIC SEARCH; STOCHASTIC SEARCH METHODS;

BAYESIAN NETWORKS; FEATURE EXTRACTION; STOCHASTIC SYSTEMS;

STATISTICAL TESTS;

EID: 84866503799     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.04.028     Document Type: Article

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