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Books Books 1 - 10 of about 33 related to Kernel Methods for Pattern Analysis.    

An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - Computers - 2000
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs ...
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Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff ...

John Shawe-Taylor - Computers - 2004 - 645 pages
This volume contains papers presented at the 17th Annual Conference on Le- ning Theory (previously known as the Conference on Computational Learning Theory) held in Ban ...
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Introduction to Computational Genomics: A Case Studies Approach

Nello Cristianini, Matthew W. Hahn - Computers - 2006
Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such ...
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Advances in Intelligent Data Analysis VII: 7th International Symposium on ...

Michael R. Berthold, John Shawe-Taylor, Nada Lavrač - Business & Economics - 2007 - 380 pages
This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Data Analysis, IDA 2007, held in Ljubljana, Slovenia, September 6-8, 2007. The ...
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Machine Learning and Knowledge Discovery in Databases: European Conference ...

Wray Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor - Computers - 2009 - 762 pages
This book constitutes the proceedings of the First International Conference on Computational Collective Intelligence, ICCCI 2009, held in Wroclaw, Poland, in October 2009. The ...
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Machine Learning and Knowledge Discovery in Databases: European Conference ...

Wray Buntine, Marko Grobelnik, Dunja Mladenic, John Shawe-Taylor - Computers - 2009 - 756 pages
This book constitutes the thoroughly refereed post-workshop proceedings of the first AIME 2007 workshop From Knowledge to Global Care, K4CARE 2007, held in Amsterdam, The ...
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Computational learning theory: EuroCOLT '93 : based on the proceedings of ...

John Shawe-Taylor, Martin Anthony, Institute of Mathematics and Its Applications - Computers - 1994 - 239 pages
The study of machine learning within the mathematical framework of complexity theory has seen great strides in just a few short years, spurred on by the tremendous rise in ...
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Kernel Methods for Remote Sensing Data Analysis

Gustavo Camps-Valls, Lorenzo Bruzzone - Technology & Engineering - 2009 - 434 pages
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to ...
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Learning with Kernels: Support Vector Machines, Regularization, Optimization ...

Bernhard Schölkopf, Alexander J. Smola - Computers - 2002 - 626 pages
A comprehensive introduction to Support Vector Machines and related kernel methods.
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Advances in Large Margin Classifiers

Alexander J. Smola - Computers - 2000 - 412 pages
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ...
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