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» On Some Optimization Heuristics for Lesk-Like WSD Algorithms
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
14 years 2 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
ENTCS
2010
96views more  ENTCS 2010»
13 years 7 months ago
Optimizing Conditional Logic Reasoning within CoLoSS
The generic modal reasoner CoLoSS covers a wide variety of logics ranging from graded and probabilistic modal logic to coalition logic and conditional logics, being based on a bro...
Daniel Hausmann, Lutz Schröder
DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 9 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 8 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe
FSTTCS
2004
Springer
14 years 1 months ago
Improved Approximation Algorithms for Maximum Graph Partitioning Problems
Abstract Abstract. In this paper we improve the analysis of approximation algorithms based on semidefinite programming for the maximum graph partitioning problems MAX-k-CUT, MAX-k...
Gerold Jäger, Anand Srivastav