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GEM
2008
15 years 7 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
INFORMATICALT
2010
116views more  INFORMATICALT 2010»
15 years 3 months ago
A Dynamic Network Interdiction Problem
We present a novel dynamic network interdiction model that accounts for interactions between an interdictor deploying resources on arcs in a digraph and an evader traversing the ne...
Brian J. Lunday, Hanif D. Sherali
IPPS
1996
IEEE
15 years 10 months ago
Practical Algorithms for Selection on Coarse-Grained Parallel Computers
In this paper, we consider the problem of selection on coarse-grained distributed memory parallel computers. We discuss several deterministic and randomized algorithms for paralle...
Ibraheem Al-Furaih, Srinivas Aluru, Sanjay Goil, S...
EMO
2006
Springer
172views Optimization» more  EMO 2006»
15 years 10 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
ACL
2007
15 years 8 months ago
A Simple, Similarity-based Model for Selectional Preferences
We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
Katrin Erk