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» Evaluating learning algorithms and classifiers
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ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 4 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
107
Voted
JMLR
2010
107views more  JMLR 2010»
14 years 7 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
GIS
2008
ACM
15 years 19 days ago
An ACS cooperative learning approach for route finding in natural environment
This paper introduces an ant-based colony system for the representation of a verbal route description. It is grounded on a natural metaphor that mimics the behavior of ant colonie...
David Brosset, Christophe Claramunt, Eric Saux
105
Voted
ICIP
2006
IEEE
16 years 2 months ago
A Generalized Discriminative Muitiple Instance Learning for Multimedia Semantic Concept Detection
In the paper we present a generalized discriminative multiple instance learning algorithm (GD-MIL) for multimedia semantic concept detection. It combines the capability of the MIL...
Sheng Gao, Qibin Sun
102
Voted
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 1 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...