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CP
1999
Springer
14 years 2 months ago
The Goldilocks Problem
A lot of work in constraint satisfaction has been focused on finding solutions to difficult problems. Many real life problems however, while not extremely complicated, have a huge...
Tudor Hulubei, Eugene C. Freuder
ACSD
2004
IEEE
95views Hardware» more  ACSD 2004»
14 years 1 months ago
Guided Model Checking with a Bayesian Meta-heuristic
Abstract. This paper presents a formal verification algorithm for finding errors in models of complex concurrent systems. The algorithm improves explicit guided model checking by a...
Kevin D. Seppi, Michael Jones, Peter Lamborn
GECCO
2006
Springer
184views Optimization» more  GECCO 2006»
14 years 1 months ago
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity
This paper uses an entertaining student "sports" game to illustrate that GAs can be adapted to problems with uncertain properties and complexity. These problems can be s...
Thomas Butter, Franz Rothlauf, Jörn Grahl, To...
DMIN
2007
214views Data Mining» more  DMIN 2007»
13 years 11 months ago
A Fast KNN Algorithm Based on Simulated Annealing
K-Nearest Neighbor is used broadly in text classification, but it has one deficiency—computational efficiency. In this paper, we propose a heuristic search way to find out the k ...
Chuanyao Yang, Yuqin Li, Chenghong Zhang, Yunfa Hu
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
14 years 7 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz