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ICDM
2007
IEEE
154views Data Mining» more  ICDM 2007»
13 years 8 months ago
Cocktail Ensemble for Regression
This paper is motivated to improve the performance of individual ensembles using a hybrid mechanism in the regression setting. Based on an error-ambiguity decomposition, we formal...
Yang Yu, Zhi-Hua Zhou, Kai Ming Ting
FLAIRS
2004
13 years 6 months ago
Random Subspacing for Regression Ensembles
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
Niall Rooney, David W. Patterson, Sarab S. Anand, ...
PROCEDIA
2010
109views more  PROCEDIA 2010»
12 years 11 months ago
Ridge regression ensemble for toxicity prediction
Traditional methods of assessing chemical toxicity of various compounds require tests on animals, which raises ethical concerns and is expensive. Current legislation may lead to a...
Marcin Budka, Bogdan Gabrys
ICASSP
2011
IEEE
12 years 8 months ago
Modeling musical attributes to characterize ensemble recordings using rhythmic audio features
In this paper, we present the results of a pre-study on music performance analysis of ensemble music. Our aim is to implement a music classification system for the description of...
Jakob Abesser, Olivier Lartillot, Christian Dittma...
ISCI
2008
88views more  ISCI 2008»
13 years 4 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...