769 search results - page 61 / 154 » A Machine Model for Aspect-Oriented Programming |
171
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ICMLA
2010
15 years 3 months 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...
161
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ICML
2007
IEEE
16 years 6 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...
156
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MODELS
2009
Springer
16 years 17 days 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...
219
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JMLR
2012
13 years 8 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, ...
125
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TCS
2010
15 years 4 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...