Multiple Classifier Systems 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings / [electronic resource] :
edited by Zhi-Hua Zhou, Fabio Roli, Josef Kittler.
- XI, 400 p. 106 illus. online resource.
- Lecture Notes in Computer Science, 7872 0302-9743 ; .
- Lecture Notes in Computer Science, 7872 .
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.
9783642380679
10.1007/978-3-642-38067-9 doi
Computer science.
Data mining.
Information storage and retrieval.
Image processing.
Pattern recognition.
Computer Science.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Image Processing and Computer Vision.
Information Storage and Retrieval.
QA76.9.D343
006.312
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.
9783642380679
10.1007/978-3-642-38067-9 doi
Computer science.
Data mining.
Information storage and retrieval.
Image processing.
Pattern recognition.
Computer Science.
Data Mining and Knowledge Discovery.
Pattern Recognition.
Image Processing and Computer Vision.
Information Storage and Retrieval.
QA76.9.D343
006.312