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Learning with Kernels EDITED BOOK published 2018 |
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Kernels BOOK CHAPTER published 2018 in Learning with Kernels |
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Regularization BOOK CHAPTER published 2018 in Learning with Kernels |
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Designing Kernels BOOK CHAPTER published 2018 in Learning with Kernels |
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Optimization BOOK CHAPTER published 2018 in Learning with Kernels |
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Addenda BOOK CHAPTER published 2018 in Learning with Kernels |
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Implementation BOOK CHAPTER published 2018 in Learning with Kernels |
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Index BOOK CHAPTER published 2018 in Learning with Kernels |
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References BOOK CHAPTER published 2018 in Learning with Kernels |
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Learning Theory Revisited BOOK CHAPTER published 2018 in Learning with Kernels |
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Review of "Learning Kernel Classifiers: Theory and Algorithms by Ralf Herbrich." MIT Press, Cambridge, Mass., 2002. ISBN 026208306X, 384 pages; and Review of "Learning with Kernels: Support Vector Machines, Regularization Optimization and Beyond by Bernhard Scholkopf and Alexander J. Smola." IT Press, Cambridge, Mass., 2002, ISBN 0262194759, 644 pages. JOURNAL ARTICLE published September 2004 in ACM SIGACT News |
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Mathematical Prerequisites BOOK CHAPTER published 2018 in Learning with Kernels |
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Regression Estimation BOOK CHAPTER published 2018 in Learning with Kernels |
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Incorporating Invariances BOOK CHAPTER published 2018 in Learning with Kernels |
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Pattern Recognition BOOK CHAPTER published 2018 in Learning with Kernels |
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A Tutorial Introduction BOOK CHAPTER published 2018 in Learning with Kernels |
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Kernel Feature Extraction BOOK CHAPTER published 2018 in Learning with Kernels |
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Notation and Symbols BOOK CHAPTER published 2018 in Learning with Kernels |
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Kernel Fisher Discriminant BOOK CHAPTER published 2018 in Learning with Kernels |
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Bayesian Kernel Methods BOOK CHAPTER published 2018 in Learning with Kernels |