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» Evaluation of Different Approaches to Training a Genre Class...
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109
Voted
ICML
2002
IEEE
16 years 2 months ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...
IWDC
2004
Springer
120views Communications» more  IWDC 2004»
15 years 7 months ago
SCIDS: A Soft Computing Intrusion Detection System
An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. Th...
Ajith Abraham, Ravi Jain, Sugata Sanyal, Sang-Yong...
127
Voted
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 7 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
ICDM
2010
IEEE
154views Data Mining» more  ICDM 2010»
14 years 12 months ago
Discrimination Aware Decision Tree Learning
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
ICML
2004
IEEE
16 years 2 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara