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. Ed(S): Okun, Oleg; Valentini, Giorgio; Re, Matteo - Ensembles in Machine Learning Applications - 9783642229091 - V9783642229091
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Ensembles in Machine Learning Applications

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Description for Ensembles in Machine Learning Applications Hardback. This book collects papers from the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA), held as part of the 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Editor(s): Okun, Oleg; Valentini, Giorgio; Re, Matteo. Series: Studies in Computational Intelligence. Num Pages: 252 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 622.
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).
As its two predecessors, its main theme was ensembles of supervised and unsupervised algorithms – advanced machine
learning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a group
of algorithms, each of which first independently solves the task at hand by assigning a class ... Read more

Product Details

Format
Hardback
Publication date
2011
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
252
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
252
Place of Publication
Berlin, Germany
ISBN
9783642229091
SKU
V9783642229091
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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