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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
SAC
2006
ACM
14 years 2 months ago
On the architectural alignment of ATL and QVT
Transforming models is a critical activity in Model Driven Engineering (MDE). With the expected adoption of the OMG QVT standard for model transformation language it is anticipate...
Frédéric Jouault, Ivan Kurtev
JMLR
2011
148views more  JMLR 2011»
13 years 3 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
ACL
1996
13 years 10 months ago
Generating an LTAG out of a Principle-based Hierarchical Representation
Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92). We p...
Marie-Hélène Candito
ANTSW
2006
Springer
14 years 13 days ago
Higher Order Pheromone Models in Ant Colony Optimisation
Ant colony optimisation is a constructive metaheuristic that successively builds solutions from problem-specific components. A parameterised model known as pheromone--an analogue o...
James Montgomery