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» Messy Genetic Algorithms for Subset Feature Selection
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ICCV
2003
IEEE
14 years 10 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
EVOW
2006
Springer
14 years 3 days ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
COMPSAC
2000
IEEE
14 years 26 days ago
GAPS: A Genetic Programming System
Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished i...
Michael D. Kramer, Du Zhang
ML
2010
ACM
119views Machine Learning» more  ML 2010»
13 years 6 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
AIME
2009
Springer
14 years 14 days ago
The Role of Biomedical Dataset in Classification
In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. We quantify the complexity of a biomedical dataset using five complex...
Ajay Kumar Tanwani, Muddassar Farooq