Robert C. Williamson
Robert C. Williamson
Professor of Computer Science, Australian National University; Distinguished Researcher, DATA61
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
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
48912001
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
30312000
A Generalized Representer Theorem
B Scholkopf, R Herbrich, A Smola, R Williamson
14802000
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
13942000
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
IEEE transactions on signal processing 52 (8), 2165-2176, 2004
10912004
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
6371998
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
4731990
Learning the kernel with hyperkernels
CS Ong, A Smola, B Williamson
Journal of Machine Learning Research 6, 1045-1071, 2005
3942005
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
3872003
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
3361995
Clustering: Science or art?
U von Luxburg, R Williamson, I Guyon
Journal of Machine Learning Research 27, 65-80, 2012
285*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
2181999
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
2012007
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
1972001
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
1891996
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
1741996
Support vector regression with automatic accuracy control
B Schölkopf, P Bartlett, A Smola, R Williamson
International conference on artificial neural networks, 111-116, 1998
1681998
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
1652000
The statistical performance of some instantaneous frequency estimators
BC Lovell, RC Williamson
IEEE Transactions on Signal Processing 40 (7), 1708-1723, 1992
1641992
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 11, 2387-2422, 2010
1592010
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