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ICML
2003
IEEE
16 years 7 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
ALT
2006
Springer
16 years 3 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
WSC
1998
15 years 7 months ago
Average Performance of Quasi Monte Carlo Methods for Global Optimization
In this paper we compare the average performance of one class of low-discrepancy quasi-Monte Carlo sequences for global optimization. Weiner measure is assumed as the probability ...
Hisham A. Al-Mharmah
BMCBI
2007
128views more  BMCBI 2007»
15 years 6 months ago
Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements
Background: Arabidopsis thaliana is the model species of current plant genomic research with a genome size of 125 Mb and approximately 28,000 genes. The function of half of these ...
Hui Lan, Rachel Carson, Nicholas J. Provart, Antho...
INFSOF
2006
102views more  INFSOF 2006»
15 years 6 months ago
Comparison of software architecture reverse engineering methods
Problems related to interactions between components is a sign of problems with the software architecture of the system and are often costly to fix. Thus it is very desirable to id...
Catherine Stringfellow, C. D. Amory, Dileep Potnur...