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» Prodding the ROC Curve: Constrained Optimization of Classifi...
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IS
2010
13 years 3 months ago
ROC analysis of a fatigue classifier for vehicular drivers
— Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
Mahesh M. Bundele, Rahul Banerjee
ICMCS
2006
IEEE
192views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Classifier Optimization for Multimedia Semantic Concept Detection
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Sheng Gao, Qibin Sun
FLAIRS
2008
13 years 7 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
TNN
2010
234views Management» more  TNN 2010»
12 years 12 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
MLDM
2007
Springer
13 years 11 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...