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» Using Gaussian Processes to Optimize Expensive Functions
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 3 months ago
Using predators and preys in evolution strategies
This poster presents an evolution strategy for single- and multi-objective optimization. The model uses the predatorprey approach from ecology to scale between both cases. Further...
Karlheinz Schmitt, Jörn Mehnen, Thomas Michel...
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 11 months ago
Automatic generation of XSLT stylesheets using evolutionary algorithms
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fu...
Pablo García-Sánchez, Juan Juli&aacu...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
ISNN
2005
Springer
14 years 3 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 7 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu