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» Feature Subset Selection Using a Genetic Algorithm
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118
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IJCNN
2008
IEEE
15 years 9 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
ICIP
2006
IEEE
16 years 4 months ago
Omnidirectional Views Selection for Scene Representation
This paper proposes a new method for the selection of sets of omnidirectional views, which contribute together to the efficient representation of a 3D scene. When the 3D surface i...
Ivana Tosic, Pascal Frossard
GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 3 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 6 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
110
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FUZZIEEE
2007
IEEE
15 years 8 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen