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Books Books 1 - 10 of about 45 related to Learning to Classify Text Using Support Vector Machines.   

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

Nello Cristianini, John Shawe-Taylor - Computers - 2000 - 189 pages
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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Language Modeling for Information Retrieval

Bruce Croft, John Lafferty - Computers - 2003 - 246 pages
A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless ...
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Support Vector Machines: Theory and Applications

Lipo Wang - Computers - 2005 - 431 pages
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the ...
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Learning with Support Vector Machines

Colin Campbell, Yiming Ying - Computers - 2011 - 100 pages
Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from ...
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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

Naiyang Deng, Yingjie Tian, Chunhua Zhang - Business & Economics - 2012 - 363 pages
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs ...
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Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges - 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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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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Inductive Inference for Large Scale Text Classification: Kernel Approaches ...

Catarina Silva, Bernadete Ribeiro - Mathematics - 2009 - 155 pages
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased ...
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Computational Methods of Feature Selection

Huan Liu, Hiroshi Motoda - Computers - 2007 - 440 pages
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics ...
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