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» Approximating Component Selection
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99
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RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 6 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
81
Voted
SIGMOD
1994
ACM
85views Database» more  SIGMOD 1994»
15 years 4 months ago
Adaptive Selectivity Estimation Using Query Feedback
In this paper, we propose a novel approach for estimating the record selectivities of database queries. The real attribute value distribution is adaptively approximated by a curve...
Chung-Min Chen, Nick Roussopoulos
101
Voted
ESANN
2001
15 years 1 months ago
Penalized least squares, model selection, convex hull classes and neural nets
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
Gerald H. L. Cheang, Andrew R. Barron
100
Voted
WSC
2000
15 years 1 months ago
Dynamic component substitution in web-based simulation
Recent breakthroughs in communication and software engineering has resulted in significant growth of web-based computing. Web-based techniques have been employed for modeling, sim...
Dhananjai Madhava Rao, Philip A. Wilsey
SODA
2004
ACM
146views Algorithms» more  SODA 2004»
15 years 1 months ago
Approximating the two-level facility location problem via a quasi-greedy approach
We propose a quasi-greedy algorithm for approximating the classical uncapacitated 2-level facility location problem (2-LFLP). Our algorithm, unlike the standard greedy algorithm, ...
Jiawei Zhang