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HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 6 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
IGPL
2006
90views more  IGPL 2006»
15 years 6 months ago
Surviving Abduction
Abduction or retroduction, as introduced by C.S. Peirce in the double sense of searching for explanatory instances and providing an explanation (i.e., involving the procedure of s...
Walter Alexandre Carnielli
COMCOM
2007
84views more  COMCOM 2007»
15 years 6 months ago
A genetic approach for adding QoS to distributed virtual environments
Distributed Virtual Environment (DVE) systems have been designed last years as a set of distributed servers. These systems allow a large number of remote users to share a single 3...
Silvia Rueda, Pedro Morillo, Juan M. Orduña...
207
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ML
2008
ACM
156views Machine Learning» more  ML 2008»
15 years 6 months ago
On the connection between the phase transition of the covering test and the learning success rate in ILP
It is well-known that heuristic search in ILP is prone to plateau phenomena. An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete...
Érick Alphonse, Aomar Osmani
MONET
2008
85views more  MONET 2008»
15 years 6 months ago
Population Adaptation for Genetic Algorithm-based Cognitive Radios
Genetic algorithms are best suited for optimization problems involving large search spaces. The problem space encountered when optimizing the transmission parameters of an agile or...
Timothy R. Newman, Rakesh Rajbanshi, Alexander M. ...