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Multiple Classifier Systems [electronic resource] : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings / edited by Zhi-Hua Zhou, Fabio Roli, Josef Kittler.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 7872Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XI, 400 p. 106 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642380679
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Multiple classifier systems and ensemble methods -- Pattern recognition -- Machine learning -- Neural network -- Data mining -- Statistics.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.
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Multiple classifier systems and ensemble methods -- Pattern recognition -- Machine learning -- Neural network -- Data mining -- Statistics.

This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.

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