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MCS
2010
Springer
14 years 11 months ago
Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems
Selecting a set of good and diverse base classifiers is essential for building multiple classifier systems. However, almost all commonly used procedures for selecting such base cla...
Wan-Jui Lee, Robert P. W. Duin, Horst Bunke
DGO
2008
170views Education» more  DGO 2008»
14 years 11 months ago
Natural language processing and e-Government: crime information extraction from heterogeneous data sources
Much information that could help solve and prevent crimes is never gathered because the reporting methods available to citizens and law enforcement personnel are not optimal. Dete...
Chih Hao Ku, Alicia Iriberri, Gondy Leroy
MEDINFO
2007
177views Healthcare» more  MEDINFO 2007»
14 years 11 months ago
The Molecular Medicine Informatics Model (MMIM)
In 2005, a major collaboration in Melbourne Australia successfully completed implementing a major medical informatics infrastructure – this is now being used for discovery resear...
Marienne Hibbert, Peter Gibbs, Terence O'brien, Pe...
NIPS
2007
14 years 11 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
AAAI
2006
14 years 11 months ago
Model Counting: A New Strategy for Obtaining Good Bounds
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...
Carla P. Gomes, Ashish Sabharwal, Bart Selman