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ICIAP
1999
ACM
15 years 10 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli
VLSID
1998
IEEE
117views VLSI» more  VLSID 1998»
15 years 10 months ago
Partial Scan Selection Based on Dynamic Reachability and Observability Information
A partial scan selection strategy is proposed in which flip-flops are selected via newly proposed dynamic reachability and observability measures such that the remaining hard-to-d...
Michael S. Hsiao, Gurjeet S. Saund, Elizabeth M. R...
RSCTC
2000
Springer
151views Fuzzy Logic» more  RSCTC 2000»
15 years 9 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
15 years 8 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
15 years 7 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