Feature Extraction - Studies in Fuzziness and Soft Computing
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Published By Springer Berlin Heidelberg

9783540354871, 9783540354888

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An Introduction to Feature Extraction

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_1 ◽

2008 ◽

pp. 1-25 ◽

Cited By ~ 105

Author(s):

Isabelle Guyon ◽

André Elisseeff

Keyword(s):

Feature Extraction

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Ensemble Learning

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_8 ◽

2008 ◽

pp. 187-204 ◽

Cited By ~ 5

Author(s):

Eugene Tuv

Keyword(s):

Ensemble Learning

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Search Strategies

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_5 ◽

2008 ◽

pp. 119-136 ◽

Cited By ~ 7

Author(s):

Juha Reunanen

Keyword(s):

Search Strategies

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An Input Variable Importance Definition based on Empirical Data Probability Distribution

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_27 ◽

2008 ◽

pp. 509-516 ◽

Cited By ~ 1

Author(s):

V. Lemaire ◽

F. Clérot

Keyword(s):

Probability Distribution ◽

Empirical Data ◽

Variable Importance

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Combining Information-Based Supervised and Unsupervised Feature Selection

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_25 ◽

2008 ◽

pp. 489-498

Author(s):

Sang-Kyun Lee ◽

Seung-Joon Yi ◽

Byoung-Tak Zhang

Keyword(s):

Feature Selection ◽

Unsupervised Feature Selection ◽

Combining Information

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Information Gain, Correlation and Support Vector Machines

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_23 ◽

2008 ◽

pp. 463-470 ◽

Cited By ~ 32

Author(s):

Danny Roobaert ◽

Grigoris Karakoulas ◽

Nitesh V. Chawla

Keyword(s):

Support Vector Machines ◽

Information Gain ◽

Support Vector ◽

Vector Machines

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Nonlinear Feature Selection with the Potential Support Vector Machine

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_20 ◽

2008 ◽

pp. 419-438 ◽

Cited By ~ 5

Author(s):

Sepp Hochreiter ◽

Klaus Obermayer

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

Support Vector ◽

Nonlinear Feature

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Sparse, Flexible and Efficient Modeling using L 1 Regularization

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_17 ◽

2008 ◽

pp. 375-394

Author(s):

Saharon Rosset ◽

Ji Zhu

Keyword(s):

Efficient Modeling

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Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_31 ◽

2008 ◽

pp. 607-624

Author(s):

Ilya Levner ◽

Vadim Bulitko ◽

Guohui Lin

Keyword(s):

Feature Extraction ◽

Comparative Study ◽

Mass Spectra

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Fuzzy Neural Networks

Feature Extraction - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-35488-8_9 ◽

2008 ◽

pp. 205-233

Author(s):

Madan M. Gupta ◽

Noriyasu Homma ◽

Zeng-Guang Hou

Keyword(s):

Neural Networks ◽

Fuzzy Neural Networks ◽

Fuzzy Neural

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Feature Extraction - Studies in Fuzziness and Soft ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

An Introduction to Feature Extraction

Ensemble Learning

Search Strategies

An Input Variable Importance Definition based on Empirical Data Probability Distribution

Combining Information-Based Supervised and Unsupervised Feature Selection

Information Gain, Correlation and Support Vector Machines

Nonlinear Feature Selection with the Potential Support Vector Machine

Sparse, Flexible and Efficient Modeling using L 1 Regularization

Feature Extraction for Classification of Proteomic Mass Spectra: A Comparative Study

Fuzzy Neural Networks

Feature Extraction - Studies in Fuzziness and Soft Computing
Latest Publications