Verwandte Artikel zu Ensembles in Machine Learning Applications: 373 (Studies...

Ensembles in Machine Learning Applications: 373 (Studies in Computational Intelligence) - Softcover

 
9783662507063: Ensembles in Machine Learning Applications: 373 (Studies in Computational Intelligence)

Reseña del editor

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.

Contraportada

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 or cluster label
(voting) to instances in a dataset and after that all votes are combined together to produce the final class or
cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems.
 
This book consists of 14 chapters, each of which can be read independently of the others. In addition to two
previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or
programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in
practice and to help to both researchers and engineers developing ensemble applications.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

EUR 14,23 für den Versand von Vereinigtes Königreich nach USA

Versandziele, Kosten & Dauer

Weitere beliebte Ausgaben desselben Titels

9783642229091: Ensembles in Machine Learning Applications: 373 (Studies in Computational Intelligence)

Vorgestellte Ausgabe

ISBN 10:  3642229093 ISBN 13:  9783642229091
Verlag: Springer, 2011
Hardcover

Suchergebnisse für Ensembles in Machine Learning Applications: 373 (Studies...

Beispielbild für diese ISBN

Verlag: Springer, 2016
ISBN 10: 3662507064 ISBN 13: 9783662507063
Neu Softcover

Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. In. Artikel-Nr. ria9783662507063_new

Verkäufer kontaktieren

Neu kaufen

EUR 119,42
Währung umrechnen
Versand: EUR 14,23
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Oleg Okun
ISBN 10: 3662507064 ISBN 13: 9783662507063
Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 machinelearning and data mining technique. Unlike a single classification or clustering algorithm, an ensemble is a groupof algorithms, each of which first independently solves the task at hand by assigning a class or cluster label (voting) to instances in a dataset and after that all votes are combined together to produce the final class or cluster membership. As a result, ensembles often outperform best single algorithms in many real-world problems. This book consists of 14 chapters, each of which can be read independently of the others. In addition to two previous SUEMA editions, also published by Springer, many chapters in the current book include pseudo code and/or programming code of the algorithms described in them. This was done in order to facilitate ensemble adoption in practice and to help to both researchers and engineers developing ensemble applications. Artikel-Nr. 9783662507063

Verkäufer kontaktieren

Neu kaufen

EUR 106,99
Währung umrechnen
Versand: EUR 30,11
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Okun, Oleg|Valentini, Giorgio|Re, Matteo
ISBN 10: 3662507064 ISBN 13: 9783662507063
Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Artikel-Nr. 449137411

Verkäufer kontaktieren

Neu kaufen

EUR 92,27
Währung umrechnen
Versand: EUR 48,99
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb