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Maximization）アルゴリズムに基づいて定式化されており，正規化学習の繰返しにより学習データに関するゆう度が単調に増加することが保証されている．また，M2VTSデータベースを用いた単語認識実験により提案法の有効性を示す．","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"familyNames":[{"familyName":"Nankaku","familyNameLang":"en"},{"familyName":"南角","familyNameLang":"ja"},{"familyName":"ナンカク","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Yoshihiko","givenNameLang":"en"},{"givenName":"吉彦","givenNameLang":"ja"},{"givenName":"ヨシヒコ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"8555","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000080397497","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000080397497"}],"names":[{"name":"Nankaku, Yoshihiko","nameLang":"en"},{"name":"南角, 吉彦","nameLang":"ja"},{"name":"ナンカク, 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