769 search results - page 61 / 154 » A Machine Model for Aspect-Oriented Programming |
136
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ICMLA
2010
15 years 27 days ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
132
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
121
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MODELS
2009
Springer
15 years 10 months ago
2009
Springer
Features identify core characteristics of software in order to produce families of programs. Through configuration, different variants of a program can be composed. Our approach...
175
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JMLR
2012
13 years 6 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
94
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TCS
2010
15 years 1 months ago
2010
We define a program semantics that is preserved by dependence-based slicing algorithms. It is a natural extension, to non-terminating programs, of the semantics introduced by Wei...