Large-scale online feature selection for ultra-high dimensional sparse data

Feature selection (FS) is an important technique in machine learning and data mining, especially for large scale high-dimensional data. Most existing studies have been restricted to batch learning, which is often inefficient and poorly scalable when handling big data in real world. As real data may...

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Bibliographic Details
Main Authors: WU, Yue, HOI, Steven C. H., MEI, Tao, YU, Nenghai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
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Online Access:https://ink.library.smu.edu.sg/sis_research/3781
https://ink.library.smu.edu.sg/context/sis_research/article/4783/viewcontent/Large_Scale_Online_Feature_Selection_Ultra_high_2017_afv.pdf
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Institution: Singapore Management University
Language: English
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