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JMLR
2002
115views more  JMLR 2002»
13 years 8 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
NGC
1998
Springer
115views Communications» more  NGC 1998»
13 years 8 months ago
On Semantic Resolution with Lemmaizing and Contraction and a Formal Treatment of Caching
Reducing redundancy in search has been a major concern for automated deduction. Subgoal-reduction strategies, such as those based on model elimination and implemented in Prolog te...
Maria Paola Bonacina, Jieh Hsiang
TIT
1998
121views more  TIT 1998»
13 years 8 months ago
Blind Multiuser Detection: A Subspace Approach
—A new multiuser detection scheme based on signal subspace estimation is proposed. It is shown that under this scheme, both the decorrelating detector and the linear minimummean-...
Xiaodong Wang, H. Vincent Poor
ML
2007
ACM
144views Machine Learning» more  ML 2007»
13 years 8 months ago
Invariant kernel functions for pattern analysis and machine learning
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
Bernard Haasdonk, Hans Burkhardt
MP
2007
97views more  MP 2007»
13 years 8 months ago
On the domino-parity inequalities for the STSP
Abstract One method which has been used very successfully for finding optimal and provably good solutions for large instances of the Symmetric Travelling Salesman Problem (STSP) i...
Sylvia C. Boyd, Sally Cockburn, Danielle Vella