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» A Combination Method for Generating Interpolants
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AIIDE
2008
15 years 8 months ago
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...
Jacob Schrum, Risto Miikkulainen
DLOG
2007
15 years 8 months ago
Partitioning ABoxes Based on Converting DL to Plain Datalog
Abstract. To make ABox reasoning scalable for large ABoxes in description logic (DL) knowledge bases, we develop a method for partitioning the ABox so that specific kinds of reaso...
Jianfeng Du, Yi-Dong Shen
IJCAI
2003
15 years 7 months ago
Constructing Diverse Classifier Ensembles using Artificial Training Examples
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
Prem Melville, Raymond J. Mooney
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 7 months ago
Handling dynamic data structures in search based testing
There has been little attention to search based test data generation in the presence of pointer inputs and dynamic data structures, an area in which recent concolic methods have e...
Kiran Lakhotia, Mark Harman, Phil McMinn
HEURISTICS
2002
146views more  HEURISTICS 2002»
15 years 6 months ago
Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows
This paper presents operators searching large neighborhoods in order to solve the vehicle routing problem. They make use of the pruning and propagation techniques of constraint pr...
Louis-Martin Rousseau, Michel Gendreau, Gilles Pes...