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RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Anytime Algorithm for Feature Selection
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
ATAL
2008
Springer
13 years 9 months ago
Combining Job and Team Selection Heuristics
In open markets and within business and government organizations, selfish agents often face the question of what tasks to work on, and what partners to work with. Optimal solutions...
Chris L. D. Jones, K. Suzanne Barber
ECIR
2010
Springer
13 years 9 months ago
Evaluating Server Selection for Federated Search
Abstract. Previous evaluations of server selection methods for federated search have either used metrics which are unconnected with user satisfaction, or have not been able to acco...
Paul Thomas, Milad Shokouhi
DMIN
2007
203views Data Mining» more  DMIN 2007»
13 years 9 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
ICMLA
2008
13 years 9 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...