A Generalized Kernel Approach to Dissimilarity-based Classification.
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines.
Exact Simplification of Support Vector Solutions.
Support Vector Clustering.
On the Size of Convex Hulls of Small Sets.
On the Influence of the Kernel on the Consistency of Support Vector Machines.
Classes of Kernels for Machine Learning: A Statistics Perspective.
Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space.
Graph-Based Hierarchical Conceptual Clustering.
Support Vector Machine Active Learning with Applications to Text Classification.
One-Class SVMs for Document Classification.
A New Approximate Maximal Margin Classification Algorithm.
Efficient SVM Training Using Low-Rank Kernel Representations.
Uniform Object Generation for Optimizing One-class Classifiers.