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Books Books 1 - 10 of about 45 related to An Introduction to Support Vector Machines and Other Kernel-based Learning ....    

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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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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Kernel Methods for Pattern Analysis

John Shawe-Taylor, Nello Cristianini - Computers - 2004 - 462 pages
A unique account of developing topic in data mining and machine learning.
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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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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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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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Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola - Computers - 1999 - 376 pages
A young girl hears the story of her great-great-great-great- grandfather and his brother who came to the United States to make a better life for themselves helping to build the ...
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Machine Learning with SVM and Other Kernel Methods

K.P. Soman, R. LOGANATHAN, V. AJAY - Computers - 2009 - 486 pages
Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical ...
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