Semi-supervised multi-class Adaboost by exploiting unlabeled data-Reference-Cited by-同舟云学术

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Semi-supervised multi-class Adaboost by exploiting unlabeled data

Published:2011-06 Issue:6 Volume:38 Page:6720-6726
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Song Enmin,Huang Dongshan,Ma Guangzhi,Hung Chih-Cheng

Funder

Chinese National 863 Target-oriented Project

International Science and Technology Cooperation Project

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference22 articles.

1. Instance-based learning algorithms;Aha;Machine Learning,1991

2. Exploiting unlabeled data in ensemble methods;Bennett,2002

3. Learning from labeled and unlabeled data using graph mincuts;Blum,2001

4. Combining labeled and unlabeled data with co-training;Blum,1998

5. Semi-supervised marginboost;Buc,2001

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