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EDBT
2000
ACM
13 years 11 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
IWQOS
2001
Springer
14 years 4 days ago
JoBS: Joint Buffer Management and Scheduling for Differentiated Services
A novel algorithm for buffer management and packet scheduling is presented for providing loss and delay differentiation for traffic classes at a network router. The algorithm, cal...
Jörg Liebeherr, Nicolas Christin
JCST
2010
109views more  JCST 2010»
13 years 2 months ago
The Inverse Classification Problem
In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
Charu C. Aggarwal, Chen Chen, Jiawei Han
MICCAI
2009
Springer
14 years 5 months ago
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings
Abstract. Computer aided detection (CAD) of colonic polyps in computed tomographic colonography has tremendously impacted colorectal cancer diagnosis using 3D medical imaging. It i...
Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar...
JAIR
2008
120views more  JAIR 2008»
13 years 7 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch