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kernlab - An S4 Package for Kernel Methods in R | Journal of Statistical Software
Alexandros Karatzoglou, Alexandros Smola, Kurt Hornik, Achim Zeileis kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine
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Asymmetric Kernel Learning - ãŒãã—ã‚…ã†æ—¥è¨˜
http://www0.cs.ucl.ac.uk/staff/M.Pontil/reading/kernels4MTL.pdf
https://people.eecs.berkeley.edu/~jordan/courses/281B-spring04/lectures/rkhs2.pdf
Gaussian Processes for Machine Learning — Kernel Machines
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