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» Optimizing abstaining classifiers using ROC analysis
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ICDAR
2009
IEEE
13 years 8 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
14 years 4 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
ICDAR
2009
IEEE
13 years 8 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
CLEF
2010
Springer
13 years 12 months ago
Wiki Vandalysis - Wikipedia Vandalism Analysis - Lab Report for PAN at CLEF 2010
Wikipedia describes itself as the "free encyclopedia that anyone can edit". Along with the helpful volunteers who contribute by improving the articles, a great number of ...
Manoj Harpalani, Thanadit Phumprao, Megha Bassi, M...
MCS
2000
Springer
14 years 2 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock