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ICANN
2005
Springer
15 years 6 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
GECCO
2010
Springer
188views Optimization» more  GECCO 2010»
15 years 4 months ago
Benchmarking real-coded genetic algorithm on noisy black-box optimization testbed
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
Thanh-Do Tran, Gang-Gyoo Jin
ICWS
2009
IEEE
14 years 11 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
IDEAL
2009
Springer
14 years 11 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler
CEC
2007
IEEE
15 years 7 months ago
A fractal representation for real optimization
— The chaos game, in which a moving point is repeatedly averaged toward randomly selected vertices of a triangle, is one method of generating the fractal called the Sierpinski tr...
Daniel A. Ashlock, Justin Schonfeld