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IWANN
2009
Springer
15 years 10 months ago
Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
IWANN
2009
Springer
15 years 10 months ago
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
IWANN
2009
Springer
15 years 10 months ago
A Proposal for Mobile Diabetes Self-control: Towards a Patient Monitoring Framework
In this paper, we present a proposal for Patients’ Mobile Monitoring. This framework enables the definition and generation of profiles, modules and communication structures betwe...
Vladimir Villarreal, Javier Laguna, Silvia L&oacut...
139
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
164
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini