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DM
2006
70views more  DM 2006»
13 years 7 months ago
Improving probability bounds by optimization over subsets
The simple device of maximization over subsets of events can provide substantial improvement over the Dawson
Fred M. Hoppe
SSPR
2004
Springer
14 years 25 days ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
PAMI
2010
185views more  PAMI 2010»
13 years 5 months ago
Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...
Petr Somol, Jana Novovicová
ECAI
2006
Springer
13 years 11 months ago
Random Subset Optimization
Some of the most successful algorithms for satisfiability, such as Walksat, are based on random walks. Similarly, local search algorithms for solving constraint optimization proble...
Boi Faltings, Quang Huy Nguyen