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» A Monotonic Measure for Optimal Feature Selection
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76
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ECML
1998
Springer
15 years 2 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
72
Voted
PAMI
2010
185views more  PAMI 2010»
14 years 8 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
62
Voted
PAMI
1998
74views more  PAMI 1998»
14 years 10 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
99
Voted
SIAMCO
2011
14 years 5 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
90
Voted
UAI
2008
14 years 11 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