- To be published in: Advances in Neural Information Processing Systems 9, M C Mozer, M I Jordan, T Petsche (eds.), MIT Press, Cambridge, MA
- A High-Dimensional Subband Speech Representation and SVM Framework for Robust Speech Recognition
- Statistical mechanics of ensemble learning Anders Krogh*
- VOLUME 83, NUMBER 16 P H Y S I C A L R E V I E W L E T T E R S 18 OCTOBER 1999 Glassy Time-Scale Divergence and Anomalous Coarsening
- typeset using JPSJ.sty Spin States and Entropy of Ising Spin Glasses
- INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter 14 (2002) 16831696 PII: S0953-8984(02)31469-3
- arXiv:cond-mat/011127415Nov2001 Grand canonical ensemble simulation studies of polydisperse
- Equivalence of driven and aging fluctuation-dissipation relations in the trap model S. M. Fielding*
- Understanding Gaussian Process Regression Using the Equivalent Kernel
- Fast Bayesian Support Vector Machine Parameter Tuning with the Nystrom Method
- PHONEME CLASSIFICATION IN FREQUENCY SUBBANDS USING ENSEMBLE METHODS Nicholas Betteridge , Zoran Cvetkovic , Peter Sollich
- ROBUSTNESS OF PHONEME CLASSIFICATION USING GENERATIVE CLASSIFIERS: COMPARISON OF THE ACOUSTIC WAVEFORM AND PLP REPRESENTATIONS
- ROBUSTNESS OF PHONEME CLASSIFICATION USING SUPPORT VECTOR MACHINES: A COMPARISON BETWEEN PLP AND ACOUSTIC WAVEFORM REPRESENTATIONS
- SUBBAND ACOUSTIC WAVEFORM FRONT-END FOR ROBUST SPEECH RECOGNITION USING SUPPORT VECTOR MACHINES
- On the Potential for Robust ASR with Combined Subband-Waveform and Cepstral Features
- Rheological constitutive equation for a model of soft glassy materials Peter Sollich*
- Published in: Advances in Neural Information Processing Systems 7, G Tesauro, D S Touretzky, and T K Leen (eds.),
- INSTITUTE PHYSICS PUBLISHING JOURNAL PHYSICS: CONDENSED MATTER Phys.: Condens. Matter (2002) R79--R117 S09538984(02)178118
- Gaussian Process Regression with Mismatched Models
- Approximate learning curves for Gaussian processes Peter Sollich
- Minimum entropy queries for linear students learning nonlinear rules
- Learning from minimum entropy queries in a large committee machine Peter Sollich
- OnLine Learning with Restricted Training Sets: An Exactly Solvable Case
- Rheology of Soft Glassy Materials Peter Sollich 1 \Lambda , Francois Lequeux 2 , Pascal H'ebraud 2 , Michael E Cates 1
- INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter 14 (2002) 1683--1696 PII: S09538984(02)314693
- DISCRIMINATIVE AND GENERATIVE MACHINE LEARNING APPROACHES TOWARDS ROBUST PHONEME CLASSIFICATION
- Shear banding, aging and noise dynamics in soft glassy materials S. M. Fielding,1
- Ageing and Rheology in Soft Materials S. M. Fielding
- Online learning from finite training sets David Barber 1
- Gaussian Fields for Approximate Inference in Layered Sigmoid Belief Networks
- SOFT GLASSY RHEOLOGY Peter Sollich
- To appear in: Advances in Neural Information Processing Systems 10 M I Jordan, M J Kearns, and S A Solla (eds)
- INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter 14 (2002) R79R117 PII: S0953-8984(02)17811-8
- Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
- Query construction, entropy and generalization in neural network models Peter Sollich
- In: Advances in Neural Information Processing Systems 12 S.A. Solla, T.K. Leen and K.R. Muller (eds.), pp 349--355
- Bayesian approach to feature selection and parameter tuning for Support Vector Machine
- New address: Department of Mathematics, King's College London, Strand, London WC2R 2LS, U.K.
- Kernels and learning curves for Gaussian process regression on random graphs
- Using the Equivalent Kernel to Understand Gaussian Process Regression
- Online learning from finite training sets and robustness to input bias
- Published in Journal of Physics A, 27:7771--7784, 1994 Finite size effects in learning and generalization in
- RHEOLOGY AND GLASSY DYNAMICS OF FOAMS M. E. CATES AND P. SOLLICH
- VOLUME 88, NUMBER 5 P HY S I CA L REV I E W L E T T ER S 4 FEBRUARY 2002 Observable Dependence of FluctuationDissipation Relations and Effective Temperatures
- Published in Journal of Physics A, 28:6125--6142, 1995 Learning unrealizable tasks from minimum entropy
- Model Selection for Support Vector Machine Classification
- VOLUME 80, NUMBER 7 P HY S I CA L REV I EW L E T T ER S 16 FEBRUARY 1998 Projected Free Energies for Polydisperse Phase Equilibria
- Diffusion and Rheology in a Model of Glassy Materials R. M. L. Evans, M. E. Cates & P. Sollich \Lambda
- HIGH-DIMENSIONAL LINEAR REPRESENTATIONS FOR ROBUST SPEECH RECOGNITION
- BAYESIAN STATISTICS 8, pp. 125. J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid,
- Published in: Advances in Neural Information Processing Systems 8, D S Touretzky, M C Mozer, and M E Hasselmo (eds.),
- typeset using JPSJ.sty !ver.1.0b? Nontrivial Phase Behaviour in the InfiniteRange
- typeset using JPSJ.sty !ver.1.0b? Spin States and Entropy of Ising Spin Glasses
- Phase equilibria in polydisperse colloidal systems Moreno Fasolo, Peter Sollich, Alessandro Speranza
- Published in: Advances in Neural Information Processing Systems 7, G Tesauro, D S Touretzky, and T K Leen (eds.),
- Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
- VOLUME 83, NUMBER 16 P HY S I CA L R E V I E W L E T T E R S 18 OCTOBER 1999 Glassy TimeScale Divergence and Anomalous Coarsening
- Kinetically Constrained Models Juan P. Garrahan, Peter Sollich, and Cristina Toninelli
- Rheological constitutive equation for a model of soft glassy materials Peter Sollich*
- VOLUME 80, NUMBER 7 P H Y S I C A L R E V I E W L E T T E R S 16 FEBRUARY 1998 Projected Free Energies for Polydisperse Phase Equilibria
- Equilibrium Phase Behavior of Polydisperse Hard Spheres Moreno Fasolo* and Peter Sollich
- Baltzer Journals March 25, 1997 Query learning for maximum information gain in a
- Bayesian methods for Support Vector Machines: Evidence and predictive class probabilities
- Statistical Mechanics of Ensemble Learning Anders Krogh \Lambda
- The large amplitude oscillatory st Strain localization and full stress Fourier spectrum
- Moment free energies for polydisperse systems Peter Sollich \Lambda
- VOLUME 88, NUMBER 5 P H Y S I C A L R E V I E W L E T T E R S 4 FEBRUARY 2002 Observable Dependence of Fluctuation-Dissipation Relations and Effective Temperatures
- Phoneme Classification in Linear Feature Domains Matthew Ager, Zoran Cvetkovic Senior Member, IEEE, and Peter Sollich
- Exact learning curves for Gaussian process regression on large random graphs
- Generalization of Plaskota's bound for Gaussian process learning curves
- Phase equilibria in the polydisperse Zwanzig model of hard rods Nigel Clarke a)
- Glassy dynamics in the asymmetrically constrained kinetic Ising chain P. Sollich1
- Towards Robust Phoneme Classification With Hybrid Features Jibran Yousafzai
- Phase equilibria in the polydisperse Zwanzig model of hard rods Nigel Clarkea)
- Bayesian approach to feature selection and parameter tuning for Support Vector Machine
- EUROPHYSICS LETTERS 20 May 1997 Europhys. Lett., 38 (6), pp. 477482 (1997)
- Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
- STABLE BELIEF PROPAGATION IN GAUSSIAN DAGS David Barber
- Probabilistic interpretations and Bayesian methods for Support Vector Machines
- Stable Directed Belief Propagation in Gaussian DAGs using the auxiliary variable trick
- !#"$%&(')0%"213465087("9@5( 085$%AB)CED#9@7(&FHG IQP "H085GHRSC P 50%9@TVU2D#G"H PXWQY (`6abc6G
- Learning curves for Gaussian process regression: Approximations and bounds
- Liquidvapour phase behaviour of a polydisperse LennardJones fluid
- OnLine Learning with Restricted Training Sets
- arXiv:condmat/0111274 Grand canonical ensemble simulation studies of polydisperse
- Using the Equivalent Kernel to Understand Gaussian Process Regression
- VOLUME 78, NUMBER 10 P H Y S I C A L R E V I E W L E T T E R S 10 MARCH 1997 Rheology of Soft Glassy Materials
- SOFT GLASSY RHEOLOGY Peter Sollich
- Towards Robust Phoneme Classification With Hybrid Features Jibran Yousafzai
- A High-Dimensional Subband Speech Representation and SVM Framework for Robust Speech Recognition
