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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 1 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
CSDA
2007
127views more  CSDA 2007»
14 years 9 months ago
Computing the least quartile difference estimator in the plane
A common problem in linear regression is that largely aberrant values can strongly influence the results. The least quartile difference (LQD) regression estimator is highly robus...
Thorsten Bernholt, Robin Nunkesser, Karen Schettli...
ICASSP
2009
IEEE
15 years 4 months ago
Covariate shift adaptation for semi-supervised speaker identification
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of nonstationarity such as session dependent variation, the reco...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
55
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ICTAI
2008
IEEE
15 years 4 months ago
Classifying Spend Descriptions with Off-the-Shelf Learning Components
Analyzing spend transactions is essential to organizations for understanding their global procurement. Central to this analysis is the automated classification of these transacti...
Saikat Mukherjee, Dmitriy Fradkin, Michael Roth
SACI
2007
IEEE
15 years 4 months ago
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
Daniela Zaharie, Stefan Holban, Diana Lungeanu, Da...