Multi-label classification of documents using fine-grained weights and modified co-training-Reference-Cited by-同舟云学术

Multi-label classification of documents using fine-grained weights and modified co-training

Published:2018-02-22 Issue:1 Volume:22 Page:103-115
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Lee Chang-Hwan

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference23 articles.

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4. Hierarchical classification: Combining bayes with svm;Cesa-Bianchi;Proceedings of the 23rd International Conference on Machine Learning,2006

5. On label dependence and loss minimization in multi-label classification;Dembczyński;Machine Learning,2012

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3. IMPROVING MULTI-LABEL TEXT CLASSIFICATION USING WEIGHTED INFORMATION GAIN AND CO-TRAINED MULTINOMIAL NAÏVE BAYES CLASSIFIER;Malaysian Journal of Computer Science;2022-01-31