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» On Bootstrapping the ROC Curve
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ICDAR
2007
IEEE
14 years 1 months ago
Multi-Objective Optimization for SVM Model Selection
In this paper, we propose a multi-objective optimization method for SVM model selection using the well known NSGA-II algorithm. FA and FR rates are the two criteria used to find ...
Clément Chatelain, Sébastien Adam, Y...
PKDD
2007
Springer
134views Data Mining» more  PKDD 2007»
14 years 1 months ago
Polyp Detection in Endoscopic Video Using SVMs
Colon cancer is one of the most common cancers in developed countries. Most of these cancers start with a polyp. Polyps are easily detected by physicians. Our goal is to mimic this...
Luís A. Alexandre, João Casteleiro, ...
IJCNN
2006
IEEE
14 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
IDEAL
2005
Springer
14 years 1 months ago
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Malignancy Associated Changes are subtle changes to the nuclear texture of visually normal cells in the vicinity of a cancerous or precancerous lesion. We describe a classifier for...
Jennifer Hallinan
ROCAI
2004
Springer
14 years 25 days ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...