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ICCV
2009
IEEE
15 years 2 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
SAC
2012
ACM
13 years 12 months ago
On a hybrid data cloning method and its application in generalized linear mixed models
Data cloning method is a new computational tool for computing maximum likelihood estimates in complex statistical models such as mixed models. This method is synthesized with inte...
Hossein Baghishani, Håvard Rue, Mohsen Moham...
ICML
2010
IEEE
15 years 5 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
ACL
1996
15 years 5 months ago
Higher-Order Coloured Unification and Natural Language Semantics
In this paper, we show that Higher-Order Coloured Unification - a form of unification developed for automated theorem proving - provides a general theory for modeling the interfac...
Claire Gardent, Michael Kohlhase
IJCAI
2003
15 years 5 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...