منابع مشابه
Cross-Validated Bagged Learning.
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We present a novel approach for density estimation using Bayesian networks when faced with scarce and partially observed data. Our approach relies on Efron’s bootstrap framework, and replaces the standard model selection score by a bootstrap aggregation objective aimed at sifting out bad decisions during the learning procedure. Unlike previous bootstrap or MCMC based approaches that are only ai...
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متن کاملBagged Structure Learning of Bayesian Network
We present a novel approach for density estimation using Bayesian networks when faced with scarce and partially observed data. Our approach relies on Efron’s bootstrap framework, and replaces the standard model selection score by a bootstrap aggregation objective aimed at sifting out bad decisions during the learning procedure. Unlike previous bootstrap or MCMC based approaches that are only ai...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2007
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2007.07.004