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» An Improved Model Selection Heuristic for AUC
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CADE
2000
Springer
13 years 10 months ago
Two Techniques to Improve Finite Model Search
Abstract. This article introduces two techniques to improve the propagation efficiency of CSP based finite model generation methods. One approach consists in statically rewriting ...
Gilles Audemard, Belaid Benhamou, Laurent Henocque
ICPR
2008
IEEE
14 years 5 days ago
Fast model selection for MaxMinOver-based training of support vector machines
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
Fabian Timm, Sascha Klement, Thomas Martinetz
CPAIOR
2008
Springer
13 years 7 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
BMCBI
2006
142views more  BMCBI 2006»
13 years 5 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
AAAI
2007
13 years 8 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...