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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
EVOW
2010
Springer
14 years 2 months ago
Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
Lucia Ballerini, Xiang Li, Robert B. Fisher, Ben A...
IJCNN
2008
IEEE
14 years 2 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
AIPS
2004
13 years 9 months ago
An Empirical Analysis of Some Heuristic Features for Local Search in LPG
LPG is a planner that performed very well in the last International planning competition (2002). The system is based on a stochastic local search procedure, and it incorporates se...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
EMNLP
2009
13 years 5 months ago
Multi-Word Expression Identification Using Sentence Surface Features
Much NLP research on Multi-Word Expressions (MWEs) focuses on the discovery of new expressions, as opposed to the identification in texts of known expressions. However, MWE identi...
Ram Boukobza, Ari Rappoport