The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research.

The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification—that is, a scale parameter—rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms. The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.

� propos de l?auteur:

Alexander J. Smola is Senior Principal Researcher and Machine Learning Program Leader at National ICT Australia/Australian National University, Canberra.

Bernhard Sch�lkopf is Director at the Max Planck Institute for Intelligent Systems in T�bingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.

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Description de la librairie

Alien Bindings is an online bookshop located in Baltimore that has been in operation for nearly 20 years. Alien Bindings caters to the sciences including the physical sciences, astronomy, mathematics, computer science, the social sciences and medicine. I also dabble in a wide array of other categories including antiquarian books and history. I run a clean, green business. I try to reuse clean materials for packaging whenever possible. For example, books are carefully packaged frequently using clean cardboard for custom made boxes, recycled paper is used for printed labels and recycled plastic or bubble wrap is used for a weather-proof barrier. I drop the packages off to my local post office via foot or cycle in order to further reduce the carbon footprint.

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