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» Evolutionary Computation for Modeling and Optimization
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ATAL
2007
Springer
16 years 1 months ago
Implementing the maximum of monotone algorithms
Running several sub-optimal algorithms and choosing the optimal one is a common procedure in computer science, most notably in the design of approximation algorithms. This paper d...
Liad Blumrosen
153
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 10 days ago
Symbolic regression in multicollinearity problems
In this paper the potential of GP-generated symbolic regression for alleviating multicollinearity problems in multiple regression is presented with a case study in an industrial s...
Flor A. Castillo, Carlos M. Villa
SBACPAD
2004
IEEE
124views Hardware» more  SBACPAD 2004»
15 years 8 months ago
Improving Parallel Execution Time of Sorting on Heterogeneous Clusters
The aim of the paper is to introduce techniques in order to optimize the parallel execution time of sorting on heterogeneous platforms (processors speeds are related by a constant...
Christophe Cérin, Michel Koskas, Hazem Fkai...
TKDE
2008
118views more  TKDE 2008»
15 years 6 months ago
A Lagrangian Approach for Multiple Personalized Campaigns
The multicampaign assignment problem is a campaign model to overcome the multiple-recommendation problem that occurs when conducting several personalized campaigns simultaneously. ...
Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon
ICML
2007
IEEE
16 years 7 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto