<学術雑誌論文>
SEMI-SUPERVISED LOGISTIC DISCRIMINATION FOR FUNCTIONAL DATA

作成者
本文言語
出版者
発行日
収録物名
開始ページ
終了ページ
出版タイプ
アクセス権
Crossref DOI
関連情報
概要 Multi-class classification methods based on both labeled and unlabeled functional data sets are discussed. We present a semi-supervised logistic model for classification in the context of functional d...ata analysis. Unknown parameters in our proposed model are estimated by regularization with the help of EM algorithm. A crucial point in the modeling procedure is the choice of a regularization parameter involved in the semi-supervised functional logistic model. In order to select the adjusted parameter, we introduce model selection criteria from information-theoretic and Bayesian viewpoints. Monte Carlo simulations and a real data analysis are given to examine the effectiveness of our proposed modeling strategy.続きを見る

本文ファイル

KawanoKonishi_Final pdf 591 KB 396  

詳細

PISSN
EISSN
NCID
レコードID
査読有無
主題
登録日 2015.03.09
更新日 2020.10.22

この資料を見た人はこんな資料も見ています