Robert C. Williamson

Peng Sun

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Information, Divergence and Risk for Binary Experiments.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

2010

Convexity of Proper Composite Binary Losses.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Composite Binary Losses.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

2009

Surrogate regret bounds for proper losses.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Generalised Pinsker Inequalities.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

2008

Correction to "The Importance of Convexity in Learning With Squared Loss".

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

2007

The Need for Open Source Software in Machine Learning.

[BibT_eX]

[DOI]

Carl Edward Rasmussen

J. Mach. Learn. Res., 2007

2006

Particle Filter Design Using Importance Sampling for Acoustic Source Localisation and Tracking in Reverberant Environments.

[BibT_eX]

[DOI]

Eric A. Lehmann

EURASIP J. Adv. Signal Process., 2006

2005

Learning the Kernel with Hyperkernels.

[BibT_eX]

[DOI]

Cheng Soon Ong

J. Mach. Learn. Res., 2005

Learnability of Probabilistic Automata via Oracles.

[BibT_eX]

[DOI]

Omri Guttman

S. V. N. Vishwanathan

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004

Online learning with kernels.

[BibT_eX]

[DOI]

Jyrki Kivinen

IEEE Trans. Signal Process., 2004

2003

Particle filtering algorithms for tracking an acoustic source in a reverberant environment.

[BibT_eX]

[DOI]

Eric A. Lehmann

IEEE Trans. Speech Audio Process., 2003

Online Bayes Point Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Loop removal from LDPC codes.

[BibT_eX]

[DOI]

James A. McGowan

Proceedings of the Proceedings 2003 IEEE Information Theory Workshop, 2003

Experimental comparison of particle filtering algorithms for acoustic source localization in a reverberant room.

[BibT_eX]

[DOI]

Eric A. Lehmann

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Channel equalization and the Bayes point machine.

[BibT_eX]

[DOI]

Edward Harrington

Jyrki Kivinen

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Acoustic beamforming exploiting directionality of human speech sources.

[BibT_eX]

[DOI]

Terence Betlehem

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Exploiting sparsity in adaptive filters.

[BibT_eX]

[DOI]

Richard K. Martin

William A. Sethares

C. Richard Johnson Jr.

IEEE Trans. Signal Process., 2002

Covering numbers for support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2002

Algorithmic Luckiness.

[BibT_eX]

[DOI]

Ralf Herbrich

J. Mach. Learn. Res., 2002

Hyperkernels.

[BibT_eX]

[DOI]

Cheng Soon Ong

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Particle filter beamforming for acoustic source localization in a reverberant environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

Agnostic Learning Nonconvex Function Classes.

[BibT_eX]

[DOI]

Shahar Mendelson

Proceedings of the Computational Learning Theory, 2002

Large Margin Classification for Moving Targets.

[BibT_eX]

[DOI]

Jyrki Kivinen

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001

Convergence of exponentiated gradient algorithms.

[BibT_eX]

[DOI]

Simon I. Hill

IEEE Trans. Signal Process., 2001

Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators.

[BibT_eX]

[DOI]

Bernhard Schölkopf

IEEE Trans. Inf. Theory, 2001

Estimating the Support of a High-Dimensional Distribution.

[BibT_eX]

[DOI]

Neural Comput., 2001

Regularized Principal Manifolds.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2001

Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms.

[BibT_eX]

[DOI]

Robert E. Mahony

J. Mach. Learn. Res., 2001

Kernel Machines and Boolean Functions.

[BibT_eX]

[DOI]

Adam Kowalczyk

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Very low voltage power conversion.

[BibT_eX]

[DOI]

Marshall Shepard

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

Constant Directivity Beamforming.

[BibT_eX]

[DOI]

Proceedings of the Microphone Arrays - Signal Processing Techniques and Applications, 2001

2000

Equalization in an acoustic reverberant environment: robustness results.

[BibT_eX]

[DOI]

Biljana D. Radlovic

IEEE Trans. Speech Audio Process., 2000

New Support Vector Algorithms.

[BibT_eX]

[DOI]

Neural Comput., 2000

Regularization with Dot-Product Kernels.

[BibT_eX]

[DOI]

Zoltán L. Óvári

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

From Margin to Sparsity.

[BibT_eX]

[DOI]

Thore Graepel

Ralf Herbrich

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Error performance of a channel of known impulse response.

[BibT_eX]

[DOI]

Paul D. Teal

Proceedings of the IEEE International Conference on Acoustics, 2000

Entropy Numbers of Linear Function Classes.

[BibT_eX]

Bernhard Schölkopf

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999

Finite sample properties of linear model identification.

[BibT_eX]

[DOI]

Erik Weyer

Iven M. Y. Mareels

IEEE Trans. Autom. Control., 1999

Noise modeling for nearfield array optimization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 1999

The Entropy Regularization Information Criterion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Support Vector Method for Novelty Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Beamforming for a source located in the interior of a sensor array.

[BibT_eX]

[DOI]

Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

An analysis of the exponentiated gradient descent algorithm.

[BibT_eX]

[DOI]

Simon I. Hill

Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

Nearfield broadband adaptive beamforming.

[BibT_eX]

[DOI]

Proceedings of the ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications, 1999

On the poor robustness of sound equalization in reverberant environments.

[BibT_eX]

[DOI]

Biljana D. Radlovic

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Entropy Numbers, Operators and Support Vector Kernels.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Proceedings of the Computational Learning Theory, 4th European Conference, 1999

1998

Structural Risk Minimization Over Data-Dependent Hierarchies.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1998

The Importance of Convexity in Learning with Squared Loss.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1998

On the Relationship Between Behavioural and Standard Methods for System Identification.

[BibT_eX]

[DOI]

Erik Weyer

Iven M. Y. Mareels

Autom., 1998

Shrinking the Tube: A New Support Vector Regression Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Broadband beamforming using elementary shape invariant beampatterns.

[BibT_eX]

[DOI]

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

Decision region approximation by polynomials or neural networks.

[BibT_eX]

[DOI]

Kim L. Blackmore

Iven M. Y. Mareels

IEEE Trans. Inf. Theory, 1997

Sampling rate versus quantisation in speech coders.

[BibT_eX]

[DOI]

Jennifer A. Fulton

Robert R. Bitmead

Signal Process., 1997

Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes'.

[BibT_eX]

[DOI]

Neural Comput., 1997

Online learning via congregational gradient descent.

[BibT_eX]

[DOI]

Math. Control. Signals Syst., 1997

An adaptive algorithm for broadband frequency invariant beamforming.

[BibT_eX]

[DOI]

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

A PAC Analysis of a Bayesian Estimator.

[BibT_eX]

[DOI]

John Shawe-Taylor

Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

1996

Efficient agnostic learning of neural networks with bounded fan-in.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 1996

FIR filter design for frequency invariant beamformers.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 1996

The VC Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs.

[BibT_eX]

[DOI]

Neural Comput., 1996

Fat-Shattering and the Learnability of Real-Valued Functions.

[BibT_eX]

[DOI]

Philip M. Long

J. Comput. Syst. Sci., 1996

Nearfield broadband frequency invariant beamforming.

[BibT_eX]

[DOI]

Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

A Framework for Structural Risk Minimisation.

[BibT_eX]

[DOI]

Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

1995

An efficient calculation of the moments of matched and mismatched hidden Markov models.

[BibT_eX]

[DOI]

Mehmet Karan

IEEE Trans. Signal Process., 1995

Characterization of threshold for single tone maximum likelihood frequency estimation.

[BibT_eX]

[DOI]

Ben James

IEEE Trans. Signal Process., 1995

Existence and uniqueness results for neural network approximations.

[BibT_eX]

[DOI]

Uwe Helmke

IEEE Trans. Neural Networks, 1995

Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes.

[BibT_eX]

[DOI]

Neural Comput., 1995

Neural networks, rational functions, and realization theory.

[BibT_eX]

[DOI]

Uwe Helmke

Math. Control. Signals Syst., 1995

Examples of learning curves from a modified VC-formalism.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Learning curves from a modified VC-formalism: a case study.

[BibT_eX]

[DOI]

Adam Kowalczyk

J. Szymariski

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

On Efficient Agnostic Learning of Linear Combinations of Basis Functions.

[BibT_eX]

[DOI]

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

Performance of the maximum likelihood constant frequency estimator for frequency tracking.

[BibT_eX]

[DOI]

Mehmet Karan

IEEE Trans. Signal Process., 1994

Conditional mean and maximum likelihood approaches to multiharmonic frequency estimation.

[BibT_eX]

[DOI]

Ben James

IEEE Trans. Signal Process., 1994

Threshold effects in multiharmonic maximum likelihood frequency estimation.

[BibT_eX]

[DOI]

Signal Process., 1994

A simple calculation of the joint moments of hidden Markov models.

[BibT_eX]

[DOI]

Mehmet Karan

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes.

[BibT_eX]

[DOI]

Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1993

The relationship between instantaneous frequency and time-frequency representations.

[BibT_eX]

[DOI]

Brian C. Lovell

Boualem Boashash

IEEE Trans. Signal Process., 1993

1992

The statistical performance of some instantaneous frequency estimators.

[BibT_eX]

[DOI]

Brian C. Lovell

IEEE Trans. Signal Process., 1992

Rational Parametrizations of Neural Networks.

[BibT_eX]

[DOI]

Uwe Helmke

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

An extreme limit theorem for dependency bounds of normalized sums of random variables.

[BibT_eX]

[DOI]

Inf. Sci., 1991

Splines, Rational Functions and Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

The circular nature of discrete-time frequency estimates.

[BibT_eX]

[DOI]

Brian C. Lovell

Peter J. Kootsookos

Proceedings of the 1991 International Conference on Acoustics, 1991

Investigating the Distribution Assumptions in the Pac Learning Model.

[BibT_eX]

[DOI]

Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991

1990

Probabilistic arithmetic

[BibT_eX]

[DOI]

PhD thesis, 1990

Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds.

[BibT_eX]

[DOI]

Tom Downs

Int. J. Approx. Reason., 1990

epsilon-Entropy and the Complexity of Feedforward Neural Networks.

[BibT_eX]

[DOI]