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IJCAI
2007
13 years 9 months ago
Using Learned Policies in Heuristic-Search Planning
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
Sung Wook Yoon, Alan Fern, Robert Givan
EDOC
2007
IEEE
14 years 2 months ago
Business Process Integration by Using General Rule Markup Language
A business process usually includes multiple business partners that use systems with their business logics represented in different rule (or policy) languages. The integration of ...
Milan Milanovic, Nima Kaviani, Dragan Gasevic, Adr...
ECML
1998
Springer
13 years 11 months ago
Predicate Invention and Learning from Positive Examples Only
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
Henrik Boström
29
Voted
ECAI
2008
Springer
13 years 9 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
SIGSOFT
2009
ACM
14 years 8 months ago
Learning from examples to improve code completion systems
The suggestions made by current IDE's code completion features are based exclusively on static type system of the programming language. As a result, often proposals are made ...
Marcel Bruch, Martin Monperrus, Mira Mezini