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New PDF release: Advances in Large-Margin Classifiers (Neural Information

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

ISBN-10: 0262194481

ISBN-13: 9780262194488

ISBN-10: 1423729544

ISBN-13: 9781423729549

The idea that of huge margins is a unifying precept for the research of many various ways to the category of knowledge from examples, together with boosting, mathematical programming, neural networks, and help vector machines. the truth that it's the margin, or self belief point, of a classification--that is, a scale parameter--rather than a uncooked education blunders that concerns has develop into a key device for facing classifiers. This ebook indicates how this concept applies to either the theoretical research and the layout of algorithms.The booklet offers an summary of fresh advancements in huge margin classifiers, examines connections with different equipment (e.g., Bayesian inference), and identifies strengths and weaknesses of the technique, in addition to instructions for destiny examine. one of the members are Manfred Opper, Vladimir Vapnik, and beauty Wahba.

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Extra resources for Advances in Large-Margin Classifiers (Neural Information Processing)

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X1) Φ(x2) output ... Φ(xi)) = k (x,xi) Φ(xn) mapped vectors Φ(xi), Φ(x) ... support vectors x1 ...

Support vectors x1 ...

Xi)) = k (x,xi) Φ(xn) mapped vectors Φ(xi), Φ(x) ... support vectors x1 ...

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Advances in Large-Margin Classifiers (Neural Information Processing) by Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans

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