Exploiting associations between word clusters and document classes for cross‐domain text categorization†

DOI10.1002/sam.10099OpenAlexW2148820067WikidataQ114267210 ScholiaQ114267210MaRDI QIDQ4969752

Yuhong Xiong, Qing He, Ping Luo, Zhongzhi Shi, Hui Xiong, Fuzhen Zhuang

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10099

zbMATH Keywords

text categorizationtransfer learningcross-domain learningdomain adaption

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (3)

Multiview sample classification algorithm based on L1-graph domain adaptation learning ⋮ Cross-domain decision making with parameter transfer based on value function ⋮ Transfer affinity propagation-based clustering

Uses Software

• LIBSVM

Cites Work

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• Introducing a weighted non-negative matrix factorization for image classification
• 10.1162/jmlr.2003.3.4-5.993
• Evolutionary Cross-Domain Discriminative Hessian Eigenmaps
• Unsupervised learning by probabilistic latent semantic analysis

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