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ECAI
2008
Springer
15 years 6 months ago
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Abstract. Ensemble selection deals with the reduction of an ensemble of predictive models in order to improve its efficiency and predictive performance. A number of ensemble select...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
CG
2005
Springer
15 years 4 months ago
Sloppy selection: Providing an accurate interpretation of imprecise selection gestures
This paper describes on-going work in the analysis of motion dynamics in pen-based interaction. The overall goal is the creation of a model of user motion in pen gestures where co...
Edward Lank, Eric Saund
JMLR
2010
118views more  JMLR 2010»
14 years 11 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
BMCBI
2007
113views more  BMCBI 2007»
15 years 4 months ago
In silico panning for a non-competitive peptide inhibitor
Background: Peptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since cos...
Yukiko Yagi, Kotaro Terada, Takahisa Noma, Kazunor...
IJCNN
2007
IEEE
15 years 10 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung