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Robert C. Williamson
Researcher at Australian National University
Publications - 202
Citations - 19665
Robert C. Williamson is an academic researcher from Australian National University. The author has contributed to research in topics: Support vector machine & Kernel method. The author has an hindex of 50, co-authored 191 publications receiving 17876 citations. Previous affiliations of Robert C. Williamson include University of Queensland & NICTA.
Papers
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Journal ArticleDOI
Estimating the Support of a High-Dimensional Distribution
TL;DR: In this paper, the authors propose a method to estimate a function f that is positive on S and negative on the complement of S. The functional form of f is given by a kernel expansion in terms of a potentially small subset of the training data; it is regularized by controlling the length of the weight vector in an associated feature space.
Journal ArticleDOI
New Support Vector Algorithms
TL;DR: A new class of support vector algorithms for regression and classification that eliminates one of the other free parameters of the algorithm: the accuracy parameter in the regression case, and the regularization constant C in the classification case.
Proceedings Article
Support Vector Method for Novelty Detection
TL;DR: The algorithm is a natural extension of the support vector algorithm to the case of unlabelled data and is regularized by controlling the length of the weight vector in an associated feature space.
Proceedings Article
Online Learning with Kernels
TL;DR: This paper considers online learning in a reproducing kernel Hilbert space, and allows the exploitation of the kernel trick in an online setting, and examines the value of large margins for classification in the online setting with a drifting target.
Journal ArticleDOI
Online learning with kernels
TL;DR: In this article, a reproducing kernel Hilbert space was proposed for online learning in a wide range of problems such as classification, regression, and novelty detection, and worst-case loss bounds were derived.