Multiple Classifier Systems
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Multiple Classifier Systems
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2015-06-02
Multiple Classifier Systems written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-02 with Computers categories.
This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
Multiple Classifier Systems
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Author : Josef Kittler
language : en
Publisher: Springer
Release Date : 2003-06-26
Multiple Classifier Systems written by Josef Kittler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-26 with Computers categories.
This book constitutes the refereed proceedings of the First International Workshop on Multiple Classifier Systems, MCS 2000, held in Cagliari, Italy in June 2000.The 33 revised full papers presented together with five invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on theoretical issues, multiple classifier fusion, bagging and boosting, design of multiple classifier systems, applications of multiple classifier systems, document analysis, and miscellaneous applications.
Multiple Classifier Systems
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Author : Neamat El Gayar
language : en
Publisher: Springer
Release Date : 2010-03-26
Multiple Classifier Systems written by Neamat El Gayar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-26 with Computers categories.
This book constitutes the proceedings of the 9th International Workshop on Multiple Classifier Systems, MCS 2010, held in Cairo, Egypt, in April 2010. The 31 papers presented were carefully reviewed and selected from 50 submissions. The contributions are organized into sessions dealing with classifier combination and classifier selection, diversity, bagging and boosting, combination of multiple kernels, and applications.
Multiple Classifier Systems
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Author : Terry Windeatt
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-05-27
Multiple Classifier Systems written by Terry Windeatt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-05-27 with Business & Economics categories.
This book constitutes the refereed proceedings of the 4th International Workshop on Multiple Classifier Systems, MCS 2003, held in Guildford, UK in June 2003. The 40 revised full papers presented with one invited paper were carefully reviewed and selected for presentation. The papers are organized in topical sections on boosting, combination rules, multi-class methods, fusion schemes and architectures, neural network ensembles, ensemble strategies, and applications
Multiple Classifier Systems
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Author : Fabio Roli
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-06
Multiple Classifier Systems written by Fabio Roli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Workshop on Multiple Classifier Systems, MCS 2004, held in Cagliari, Italy in June 2004. The 35 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on bagging and boosting, combination methods, design methods, performance analysis, and applications.
Multiple Classifier Systems
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Author : Carlo Sansone
language : en
Publisher: Springer
Release Date : 2011-09-15
Multiple Classifier Systems written by Carlo Sansone and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Computers categories.
This book constitutes the refereed proceedings of the 10th International Workshop on Multiple Classifier Systems, MCS 2011, held in Naples, Italy, in June 2011. The 36 revised papers presented together with two invited papers were carefully reviewed and selected from more than 50 submissions. The contributions are organized into sessions dealing with classifier ensembles; trees and forests; one-class classifiers; multiple kernels; classifier selection; sequential combination; ECOC; diversity; clustering; biometrics; and computer security.
Multiple Classifier Systems
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Author : Nikunj C. Oza
language : en
Publisher: Springer
Release Date : 2005-06-02
Multiple Classifier Systems written by Nikunj C. Oza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-02 with Computers categories.
Following its five predecessors published by Springer, this volume contains the proceedings of the 6th International Workshop on Multiple Classifier Systems (MCS 2005) held at the Embassy Suites in Seaside, California, USA, June 13 –15, 2005.
Multiple Classifier Systems
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Author : Fabio Roli
language : en
Publisher: Springer
Release Date : 2003-08-02
Multiple Classifier Systems written by Fabio Roli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-02 with Computers categories.
This book constitutes the refereed proceedings of the Third International Workshop on Multiple Classifier Systems, MCS 2002, held in Cagliari, Italy, in June 2002.The 29 revised full papers presented together with three invited papers were carefully reviewed and selected for inclusion in the volume. The papers are organized in topical sections on bagging and boosting, ensemble learning and neural networks, design methodologies, combination strategies, analysis and performance evaluation, and applications.
Multiple Classifier Systems
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Author : Jón Atli Benediktsson
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-02
Multiple Classifier Systems written by Jón Atli Benediktsson and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-02 with Computers categories.
This book constitutes the refereed proceedings of the 8th International Workshop on Multiple Classifier Systems, MCS 2009, held in Reykjavik, Iceland, in June 2009. The 52 revised full papers presented together with 2 invited papers were carefully reviewed and selected from more than 70 initial submissions. The papers are organized in topical sections on ECOC boosting and bagging, MCS in remote sensing, unbalanced data and decision templates, stacked generalization and active learning, concept drift, missing values and random forest, SVM ensembles, fusion of graphics, concepts and categorical data, clustering, and finally theory, methods and applications of MCS.
Multiple Classifier Systems
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Author : Zhi-Hua Zhou
language : en
Publisher: Springer
Release Date : 2013-04-16
Multiple Classifier Systems written by Zhi-Hua Zhou and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-16 with Computers categories.
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.