Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shouta Sugahara"'
Publikováno v:
Entropy, Vol 24, Iss 5, p 743 (2022)
When applied to classification problems, Bayesian networks are often used to infer a class variable when given feature variables. Earlier reports have described that the classification accuracy of Bayesian network structures achieved by maximizing th
Externí odkaz:
https://doaj.org/article/4d0d46725506407dbb4cebd3bc6606ba
Autor:
Shouta Sugahara, Maomi Ueno
Publikováno v:
Entropy, Vol 23, Iss 12, p 1703 (2021)
Earlier studies have shown that classification accuracies of Bayesian networks (BNs) obtained by maximizing the conditional log likelihood (CLL) of a class variable, given the feature variables, were higher than those obtained by maximizing the margi
Externí odkaz:
https://doaj.org/article/674b368858624390ba6b24c045e780d4
Publikováno v:
電子情報通信学会論文誌. D, 情報・システム = D - Abstracts of IEICE TRANSACTIONS on Information and Systems(Japanese Edition). (1):65-81
ベイジアンネットワーク分類器(Bayesian Network Classifier: BNC)は確率モデルによる分類器である.BNCの構造学習はこれまで候補構造から近似的に識別モデルの学習スコアが最大となる構造