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EPIA
2007
Springer
15 years 11 months ago
Improving Evolutionary Algorithms with Scouting
The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an ...
Konstantinos Bousmalis, Gillian M. Hayes, Jeffrey ...
ICML
1994
IEEE
15 years 8 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
AUSDM
2008
Springer
211views Data Mining» more  AUSDM 2008»
15 years 6 months ago
LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules
LBR is a highly accurate classification algorithm, which lazily constructs a single Bayesian rule for each test instance at classification time. However, its computational complex...
Zhipeng Xie
CSC
2006
15 years 6 months ago
A New Migration Model For Distributed Genetic Algorithms
Genetic algorithms are heuristic search algorithm used in science, engineering and many other areas. They are powerful but slow because of their evolutionary nature that mimics th...
Taisir Eldos
ICCCN
2008
IEEE
15 years 11 months ago
Impairment-Aware Manycast Algorithms over Optical Burst-Switched Networks
— We discuss the effect of physical impairments on manycasting service over optical burst-switched (OBS) networks. Signal quality degradation in manycast networks is an important...
Balagangadhar G. Bathula, Rajesh R. C. Bikram, Vin...