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A Study on SMO-Type Decomposition Methods for Support Vector Machines.

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Title: A Study on SMO-Type Decomposition Methods for Support Vector Machines.
Authors: Chen, Pai-Hsuen, Fan, Rong-En, Lin, Chih-Jen
Source: IEEE Transactions on Neural Networks; July 2006, Vol. 17 Issue 4, p893-908, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 501284484
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Study on SMO-Type Decomposition Methods for Support Vector Machines.
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  Data: <searchLink fieldCode="AU" term="%22Chen%2C+Pai-Hsuen%22">Chen, Pai-Hsuen</searchLink><br /><searchLink fieldCode="AU" term="%22Fan%2C+Rong-En%22">Fan, Rong-En</searchLink><br /><searchLink fieldCode="AU" term="%22Lin%2C+Chih-Jen%22">Lin, Chih-Jen</searchLink>
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TNN.2006.875973
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 893
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      – TitleFull: A Study on SMO-Type Decomposition Methods for Support Vector Machines.
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            NameFull: Chen, Pai-Hsuen
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            NameFull: Fan, Rong-En
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            NameFull: Lin, Chih-Jen
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            – D: 01
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              Text: July 2006
              Type: published
              Y: 2006
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