Ensembles in Machine Learning Applications

Häftad, Engelska, 2016

Av Oleg Okun, Giorgio Valentini, Matteo Re

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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

Utgivningsdatum2016-08-23
Mått155 x 235 x 16 mm
Vikt423 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor252
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783662507063

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Artificiell intelligens inom Data och it

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.