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Ensembles in Machine Learning Applications

Ensembles in Machine Learning Applications

Paperback

Series: Studies in Computational Intelligence, Book 373

Technology & EngineeringGeneral Computers

ISBN10: 3662507064
ISBN13: 9783662507063
Publisher: Springer Nature
Published: Aug 23 2016
Pages: 252
Weight: 0.86
Height: 0.58 Width: 6.14 Depth: 9.21
Language: English
From the content: Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers.- On the Design of Low Redundancy Error-Correcting Output Codes.- Minimally-Sized Balanced Decomposition Schemes for Multi-Class Classification.- Bias-Variance Analysis of ECOC and Bagging Using Neural Nets.- Fast-ensembles of Minimum Redundancy Feature Selection.

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