Computational Methods Feature Selection (17 results)
Language: English
Published by Chapman & Hall / CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Hard Cover. Condition: Good. No Jacket. Ex-library with the usual features. The interior is clean and tight. Binding and cover are good. 419 pages. Ex-Library.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Language: English
Published by Taylor & Francis Group, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Condition: New. pp. 440.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Language: English
Published by CRC Press, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Huan Liu, Hiroshi MotodaDue to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Condition: gut. Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) In englischer Sprache. pages.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Computational Methods of Feature Selection
Kumar, Vipin (Series edited by)/ Liu, Huan (Edited by)/ Motoda, Hiroshi (Edited by)
Language: English
Published by Chapman & Hall, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Hardcover. Condition: Brand New. 1st edition. 440 pages. 9.25x6.50x1.00 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Language: English
Published by Taylor & Francis Ltd Okt 2007, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Buch. Condition: Neu. Neuware - Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computationa…l Methods of Feature Selection introduces the basic concepts and principles, state-of-the-art algorithms, and novel applications of this tool.The book begins by exploring unsupervised, randomized, and causal feature selection. It then reports on some recent results of empowering feature selection, including active feature selection, decision-border estimate, the use of ensembles with independent probes, and incremental feature selection. This is followed by discussions of weighting and local methods, such as the ReliefF family, k-means clustering, local feature relevance, and a new interpretation of Relief. The book subsequently covers text classification, a new feature selection score, and both constraint-guided and aggressive feature selection. The final section examines applications of feature selection in bioinformatics, including feature construction as well as redundancy-, ensemble-, and penalty-based feature selection. Through a clear, concise, and coherent presentation of topics, this volume systematically covers the key concepts, underlying principles, and inventive applications of feature selection, illustrating how this powerful tool can efficiently harness massive, high-dimensional data and turn it into valuable, reliable information.
Language: English
Published by Taylor & Francis Group, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
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Condition: New. Print on Demand pp. 440 This item is printed on demand.
Language: English
Published by Taylor & Francis Group, 2007
Series: Book 3 of 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery
- Hardcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 440.
