Ensembles in Machine Learning Applications

Häftad, Engelska, 2016

Del 373 i serien Studies in Computational Intelligence

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Beskrivning

This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2010, Barcelona, Catalonia, Spain).

Produktinformation

Utgivningsdatum:2016-08-23
Mått:155 x 235 x 16 mm
Vikt:423 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:252
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783662507063

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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-ClassClassification.- Bias-Variance Analysis of ECOC and Bagging Using Neural Nets.- Fast-ensembles of Minimum Redundancy Feature Selection.