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We propose two statistical tests to determine if two samples are from different distributions. Our test statistic is in both… Expand We study the problem of learning many related tasks simultaneously using kernel methods and regularization. The standard single… Expand The lectures will introduce the kernel methods approach to pattern analysis  through the particular example of support vector… Expand kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model… Expand Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general… Expand Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology… Expand We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… Expand Principal Component A nalysis and Fisher Linear Discriminant methods have demonstrated their success in fac edete ction, r… Expand This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are… Expand Introduction to support vector learning roadmap. Part 1 Theory: three remarks on the support vector method of function estimation… Expand