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» A Monotonic Measure for Optimal Feature Selection
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ECML
1998
Springer
13 years 9 months ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash
PAMI
2010
185views more  PAMI 2010»
13 years 3 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
PAMI
1998
74views more  PAMI 1998»
13 years 4 months ago
Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
—A method is described for selecting the optimal focus measure with respect to gray-level noise from a given set of focus measures in passive autofocusing and depth-from-focus ap...
Muralidhara Subbarao, Jenn-Kwei Tyan
SIAMCO
2011
12 years 11 months ago
Admissible Strategies in Semimartingale Portfolio Selection
The choice of admissible trading strategies in mathematical modelling of financial markets is a delicate issue, going back to Harrison and Kreps [HK79]. In the context of optimal...
Sara Biagini, Ales Cerný
UAI
2008
13 years 6 months ago
Observation Subset Selection as Local Compilation of Performance Profiles
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
Yan Radovilsky, Solomon Eyal Shimony