Robert C. Williamson
Robert C. Williamson
Professor of Computer Science, Australian National University; Distinguished Researcher, DATA61
Verified email at anu.edu.au - Homepage
TitleCited byYear
Estimating the support of a high-dimensional distribution
B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
Neural computation 13 (7), 1443-1471, 2001
44382001
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
28832000
A Generalized Representer Theorem
B Scholkopf, R Herbrich, A Smola, R Williamson
13082000
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
IEEE transactions on signal processing 52 (8), 2165-2176, 2004
10192004
Support vector method for novelty detection
B Schölkopf, RC Williamson, AJ Smola, J Shawe-Taylor, JC Platt
Advances in neural information processing systems, 582-588, 2000
8762000
Structural risk minimization over data-dependent hierarchies
J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony
IEEE transactions on Information Theory 44 (5), 1926-1940, 1998
6231998
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds
RC Williamson, T Downs
International journal of approximate reasoning 4 (2), 89-158, 1990
4521990
Learning the kernel with hyperkernels
CS Ong, A Smola, B Williamson
Journal of Machine Learning Research 6, 1045-1071, 2005
3792005
Particle filtering algorithms for tracking an acoustic source in a reverberant environment
DB Ward, EA Lehmann, RC Williamson
IEEE Transactions on speech and audio processing 11 (6), 826-836, 2003
3762003
Theory and design of broadband sensor arrays with frequency invariant far‐field beam patterns
DB Ward, RA Kennedy, RC Williamson
The Journal of the Acoustical Society of America 97 (2), 1023-1034, 1995
3261995
Clustering: Science or art?
U von Luxburg, R Williamson, I Guyon
Journal of Machine Learning Research 27, 65-80, 2012
252*2012
Shrinking the tube: a new support vector regression algorithm
B Schölkopf, PL Bartlett, AJ Smola, RC Williamson
Advances in neural information processing systems, 330-336, 1999
2071999
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators
RC Williamson, AJ Smola, B Scholkopf
IEEE transactions on Information Theory 47 (6), 2516-2532, 2001
1892001
The need for open source software in machine learning
SÃ Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
Journal of Machine Learning Research 8 (Oct), 2443-2466, 2007
1842007
Efficient agnostic learning of neural networks with bounded fan-in
WS Lee, PL Bartlett, RC Williamson
IEEE Transactions on Information Theory 42 (6), 2118-2132, 1996
1791996
Support vector regression with automatic accuracy control
B Schölkopf, P Bartlett, A Smola, R Williamson
International Conference on Artificial Neural Networks, 111-116, 1998
1651998
Fat shattering and the learnability of real-valued functions
PL Bartlett, PM Long, RC Williamson
Journal of Computer and System Sciences 52 (3), 434-452, 1996
1651996
The statistical performance of some instantaneous frequency estimators
BC Lovell, RC Williamson
IEEE Transactions on Signal Processing 40 (7), 1708-1723, 1992
1591992
Equalization in an acoustic reverberant environment: Robustness results
BD Radlovic, RC Williamson, RA Kennedy
IEEE Transactions on Speech and Audio Processing 8 (3), 311-319, 2000
1582000
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12 (Mar), 731-817, 2011
1432011
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Articles 1–20