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94
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ICML
2003
IEEE
16 years 2 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
143
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POPL
1997
ACM
15 years 5 months ago
Call by Need Computations to Root-Stable Form
The following theorem of Huet and L
Aart Middeldorp
100
Voted
ICML
2003
IEEE
16 years 2 months ago
Action Elimination and Stopping Conditions for Reinforcement Learning
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
SAB
2010
Springer
189views Optimization» more  SAB 2010»
14 years 11 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
88
Voted
CC
2005
Springer
15 years 7 months ago
Using Inter-Procedural Side-Effect Information in JIT Optimizations
Anatole Le, Ondrej Lhoták, Laurie J. Hendre...