Predicting Structured Data

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Advances in Kernel Methods: Support Vector Learning

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The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator...

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

By Alexander J. Smola, Bernhard Scholkopf, Bernhard Schlkopf

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ele...

Advanced Lectures on Machine Learning

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Advanced Lectures on Machine Learning

By Alexander J. Smola, Shahar Mendelson

Advances in Large Margin Classifiers

By Peter Bartlett, Alexander J. Smola, Bernhard Scholkopf, Dale Schuurmans

Advances in Large Margin Classifiers Neural Information Processing

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Learning with Kernels

By Alexander J. Smola, Bernhard Scholkopf

Predicting Structured Data

By Alexander J. Smola, Thomas Hofmann, G Ouml Khan Bakir, Ben Taskar, Bernhard Scholkopf

Learning with Kernels

By Alexander J. Smola, Francis Bach, Bernhard Scholkopf

A comprehensive introduction to Support Vector Machines and related kernel methods.In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: t...