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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
ICPR
2000
IEEE
14 years 3 days ago
Scaling-Up Support Vector Machines Using Boosting Algorithm
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
Dmitry Pavlov, Jianchang Mao, Byron Dom
IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
14 years 4 days ago
Data Mining via Support Vector Machines
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Olvi L. Mangasarian
SAC
2010
ACM
14 years 2 months ago
Implementing software product lines using traits
A software product line (SPL) is a set of software systems with well-defined commonalities and variabilities that are developed by managed reuse of common artifacts. In this pape...
Lorenzo Bettini, Ferruccio Damiani, Ina Schaefer
EUROPAR
2005
Springer
14 years 1 months ago
Soft Computing Approach to Performance Analysis of Parallel and Distributed Programs
This paper describes a novel approach to performance analysis for parallel and distributed systems that is based on soft computing. We introduce the concept of performance score re...
Hong Linh Truong, Thomas Fahringer