Searching for authors named "Peter Sollich" – sorted by Relevance.
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Gaussian Process Regression with Mismatched Models
- Gaussian Process Regression with Mismatched Models Peter Sollich Department of Mathematics, King
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Probabilistic methods for Support Vector Machines
- (eds.), pp 349--355 MIT Press (2000) Probabilistic methods for Support Vector Machines Peter Sollich
- Cited by 25 (2 self) – Add To MetaCart
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Query Learning for Maximum Information Gain in a Multi-Layer Neural Network
- network Peter Sollich Department of Physics, University of Edinburgh Edinburgh EH9 3JZ, U.K. E-mail: P.Sollich
- Cited by 1 (0 self) – Add To MetaCart
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Learning in Large Linear Perceptrons and Why the Thermodynamic Limit is Relevant to the Real World
- Peter Sollich Department of Physics, University of Edinburgh Edinburgh EH9 3JZ, U.K. P.Sollich
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Learning Unrealizable Tasks From Minimum Entropy
- entropy queries Peter Sollich y Department of Physics, University of Edinburgh, Edinburgh EH9 3JZ, U
- Cited by 2 (2 self) – Add To MetaCart
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Bayesian methods for support vector machines: Evidence and predictive class probabilities
- SOLLICH peter.sollich@(email omitted); Department of Mathematics, King’s College London, Strand, London WC2R 2LS
- Cited by 29 (1 self) – Add To MetaCart
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Online Learning From Finite Training Sets and Robustness to Input Bias
- to input bias Peter Sollich 1 Department of Physics, University of Edinburgh, Edinburgh EH9 3JZ, U
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Learning From Queries for Maximum Information Gain in Imperfectly Learnable Problems
- Learning from queries for maximum information gain in imperfectly learnable problems Peter Sollich
- Cited by 13 (3 self) – Add To MetaCart
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Online Learning From Finite Training Sets
- University of Nijmegen, 6525 EZ Nijmegen, The Netherlands. Peter Sollich 4 Department of Physics
- Cited by 2 (1 self) – Add To MetaCart
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Online learning from finite training sets: An analytical case study
- , T Petsche (eds.), MIT Press, Cambridge, MA Author for correspondence: Peter Sollich Online learning from
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