Winther, Ole - Institut for Informatik og Matemetick Modellering, Danmarks Tekniske Universitet

• Smola, Bartlett, Scholkopf, and Schuurmans: Advances in Large Margin Classi ers. 2000/03/26 21:36 17 Gaussian Processes and SVM: Mean Field
• Adaptive and Self-averaging Thouless-Anderson-Palmer Mean Field Theory
• Variational Linear Response Manfred Opper (1) Ole Winther (2)
• Neural Networks and Cellular Automata Complexity
• Optimal Learning in Multilayer Neural Networks O. Winther a;\Lambda B. Lautrup a;b , and JB. Zhang c
• Optimal Bayesian online learning Ole Winther and Sara A. Solla
• Mean Field Approaches to Independent Component Analysis
• Correcting the Bias of Subtractive Interference Cancellation in CDMA
• Mean Field Methods for Classification with
• MEAN FIELD IMPLEMENTATION OF BAYESIAN ICA Pedro HjenSrensen , Lars Kai Hansen y
• Bayesian Mean Field Algorithms for Neural Networks and
• Probabilistic data modeling with adaptive TAP mean field theory
• Expectation Consistent Free Energies for Approximate Inference
• Supporting Information Authors: Ole Winther and Anders Krogh
• Mean Field Methods for Classification with
• LOW COMPLEXITY BAYESIAN SINGLE CHANNEL SOURCE SEPARATION Thomas Beierholm, Brian Dam Pedersen #
• Analysis of Mean Field Annealing in Subtractive Interference Cancellation
• Ecient Approaches to Gaussian Process Classi cation
• The effect of correlated input data on the dynamics of learning
• TAP Gibbs Free Energy, Belief Propagation and Lehel Csato and Manfred Opper
• A mean field algorithm for Bayes learning in large feedforward neural
• Journal of Machine Learning Research ? (2002) ?-? Submitted ?/02; Published ?/02 Large Scale Bayesian Kernel Learning
• Teaching computers to fold proteins Ole Winther # and Anders Krogh +
• Bayesian online learning in the Ole Winther and Sara A. Solla
• Supporting Information Authors: Ole Winther and Anders Krogh
• Variational Linear Response Manfred Opper(1)
• Incremental Gaussian Processes Joaquin Qui~nonero-Candela
• Computing with Finite and Infinite Networks Ole Winther
• Flexible and Efficient Implementations of Bayesian Independent Component Analysis
• Mean Field Algorithms for Gaussian Process Classification
• A mean field approach to Bayes learning in feedforward neural Manfred Opper
• Journal of Machine Learning Research 1 (2005) 1-48 Submitted 4/00; Published 10/00 Expectation Consistent Approximate Inference
• Ensemble Learning and Linear Response Theory Pedro A.d.F.R. Hjen-Srensen
• A QUANTITATIVE STUDY OF PRUNING BY OPTIMAL BRAIN DAMAGE
• Gaussian Processes for Classification: Mean Field Algorithms
• Tractable Inference for Probabilistic Data Lehel Csat o and Manfred Opper
• Teaching computers to fold proteins Ole Winther