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EVOW
2000
Springer
13 years 11 months ago
Combining Evolutionary, Connectionist, and Fuzzy Classification Algorithms for Shape Analysis
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
Paul L. Rosin, Henry O. Nyongesa
CVPR
2007
IEEE
14 years 9 months ago
A Novel Approach to Improve Biometric Recognition Using Rank Level Fusion
This paper proposes a novel approach for rank level fusion which gives improved performance gain verified by experimental results. In the absence of ranked features and instead of...
Jay Bhatnagar, Ajay Kumar, Nipun Saggar
ILP
2004
Springer
14 years 1 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
SIGMETRICS
1999
ACM
13 years 12 months ago
Performance Issues in WWW Servers
—This paper evaluates techniques for improving operating system and network protocol software support for high-performance World Wide Web servers. We study approaches in three ca...
Erich M. Nahum, Tsipora P. Barzilai, Dilip D. Kand...
ICML
2005
IEEE
14 years 8 months ago
Predicting relative performance of classifiers from samples
This paper is concerned with the problem of predicting relative performance of classification algorithms. It focusses on methods that use results on small samples and discusses th...
Rui Leite, Pavel Brazdil