JMLR Special Issue on Kernel Methods
- Introduction to the Special Issue on Kernel Methods (Kernel Machines Section)
- Nello Cristianini, John Shawe-Taylor, Robert C. Williamson; 2(12):95--96, 2001.
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- Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space (Kernel Machines Section)
- Roman Rosipal, Leonard J. Trejo; 2(12):97--123, 2001.
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- Support Vector Clustering (Kernel Machines Section)
- Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik; 2(12):125--137, 2001.
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revision: Jan 2002
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- One-Class SVMs for Document Classification (Kernel Machines Section)
- Larry M. Manevitz, Malik Yousef; 2(12):139--154, 2001.
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- Uniform Object Generation for Optimizing One-class Classifiers (Kernel Machines Section)
- David M.J. Tax, Robert P.W. Duin; 2(12):155--173, 2001.
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- A Generalized Kernel Approach to Dissimilarity-based Classification (Kernel Machines Section)
- Elzbieta Pekalska, Pavel Paclík, Robert P.W. Duin; 2(12):175--211, 2001.
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revision: Nov 2002
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- A New Approximate Maximal Margin Classification Algorithm (Kernel Machines Section)
- Claudio Gentile; 2(12):213--242, 2001.
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- Efficient SVM Training Using Low-Rank Kernel Representations (Kernel Machines Section)
- Shai Fine, Katya Scheinberg; 2(12):243--264, 2001.
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- On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines (Kernel Machines Section)
- Koby Crammer, Yoram Singer; 2(12):265--292, 2001.
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- Exact Simplification of Support Vector Solutions (Kernel Machines Section)
- Tom Downs, Kevin E. Gates, Annette Masters; 2(12):293--297, 2001.
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- Classes of Kernels for Machine Learning: A Statistics Perspective (Kernel Machines Section)
- Marc G. Genton; 2(12):299--312, 2001.
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