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» Partitioning Sets with Genetic Algorithms
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EVOW
2006
Springer
15 years 3 months ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
PRIS
2004
15 years 21 days ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
INFFUS
2008
97views more  INFFUS 2008»
14 years 11 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
AI
2000
Springer
14 years 11 months ago
A Lagrangian reconstruction of GENET
GENET is a heuristic repair algorithm which demonstrates impressive e ciency in solving some large-scale and hard instances of constraint satisfaction problems (CSPs). In this pap...
Kenneth M. F. Choi, Jimmy Ho-Man Lee, Peter J. Stu...
IADIS
2008
15 years 23 days ago
Gapbnf_Rule: A Genetic Miner Rule
The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule. GAPBNF_Rule is a powerful evolutionary method that distinguishes between ...
Rasha Shakir Abdul-Wahhab