Springer
Multiple Classifier Systems (English, Terry Windeatt | Fabio Roli)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540403692 |
| ISBN-10 | 3540403698 |
| Author | Terry Windeatt | Fabio Roli |
Product Description
About the Book
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 strategie…
ISBN: 9783540403692
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Multiple Classifier Systems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Multiple Classifier Systems is available in English on GlowMirror.
Who is the author of Multiple Classifier Systems?
Multiple Classifier Systems is authored by Terry Windeatt | Fabio Roli.
Who published Multiple Classifier Systems?
Multiple Classifier Systems is published by Springer.
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Page count information for Multiple Classifier Systems is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Multiple Classifier Systems takes a few hours to a few days depending on reading pace.
What is Multiple Classifier Systems about?
About the Book
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 paper...
Is Multiple Classifier Systems suitable for beginners?
Whether Multiple Classifier Systems is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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