Learning by extrapolation from marginal to full-multivariate probability distributions: Decreasingly naive Bayesian classification
type: Item
instance of: scholarly article
title: Learning by extrapolation from marginal to full-multivariate probability distributions: Decreasingly naive Bayesian classification
zbMATH Open document ID: 1238.68136
author: Janice R. Boughton
author: Fei Zheng
author: Kai Ming Ting
author: Houssam Salem
author: Geoffrey I. Webb
published in: Machine Learning
publication date: 2012-05-23T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6037840
zbMATH Keywords: Bayesian learning
zbMATH Keywords: classification learning
zbMATH Keywords: probabilistic learning
zbMATH Keywords: averaged one-dependence estimators
zbMATH Keywords: naive Bayes
zbMATH Keywords: semi-naive Bayesian learning
zbMATH Keywords: learning without model selection
zbMATH Keywords: ensemble learning
zbMATH Keywords: feating
MaRDI profile type: Publication
Wikidata QID: Q62833566
full work available at URL: s10994-011-5263-6
OpenAlex ID: W2086338626
cites work: Q4406009
cites work: Random forests
cites work: Bayesian network classifiers
cites work: Not so naive Bayes: Aggregating one-dependence estimators
cites work: Q5312442
cites work: Classifying under computational resource constraints: anytime classification using probabilistic estimators
DOI: 10.1007/S10994-011-5263-6
DBLP publication ID: journals/ml/WebbBZTS12
description: scientific article; zbMATH DE number 6037840