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ECAI
2008
Springer
13 years 9 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
13 years 7 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
MANSCI
2007
90views more  MANSCI 2007»
13 years 7 months ago
Selecting a Selection Procedure
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best’ is defined with respect to the largest mean, but the me...
Jürgen Branke, Stephen E. Chick, Christian Sc...
JMLR
2010
118views more  JMLR 2010»
13 years 2 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
IJCNN
2007
IEEE
14 years 1 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