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ILP
2004
Springer
14 years 1 months ago
A Monte Carlo Study of Randomised Restarted Search in ILP
Recent statistical performance surveys of search algorithms in difficult combinatorial problems have demonstrated the benefits of randomising and restarting the search procedure. ...
Filip Zelezný, Ashwin Srinivasan, David Pag...
AAAI
1994
13 years 9 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
ML
2000
ACM
126views Machine Learning» more  ML 2000»
13 years 7 months ago
Learning to Play Chess Using Temporal Differences
In this paper we present TDLEAF( ), a variation on the TD( ) algorithm that enables it to be used in conjunction with game-tree search. We present some experiments in which our che...
Jonathan Baxter, Andrew Tridgell, Lex Weaver
CLEF
2009
Springer
13 years 9 months ago
Using Semantic Relatedness and Word Sense Disambiguation for (CL)IR
In this paper we report the experiments for the CLEF 2009 Robust-WSD task, both for the monolingual (English) and the bilingual (Spanish to English) subtasks. Our main experimenta...
Eneko Agirre, Arantxa Otegi, Hugo Zaragoza
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 1 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba