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KDD
2000
ACM
133views Data Mining» more  KDD 2000»
14 years 8 hour ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
LCN
1997
IEEE
14 years 19 days ago
The Optimal Virtual Path Design of ATM Networks
This paper studies the optimal configuration of virtual paths in ATM networks. A linear model that minimizes the mrximumjow density of links is proposed for the optimal virtual pa...
Zhigang Qin, Tetiana Lo, Felix F. Wu
MFCS
2004
Springer
14 years 1 months ago
Optimal Preemptive Scheduling for General Target Functions
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...
Leah Epstein, Tamir Tassa
ISSTA
2006
ACM
14 years 2 months ago
Path-oriented random testing
Test campaigns usually require only a restricted subset of paths in a program to be thoroughly tested. As random testing (RT) offers interesting fault-detection capacities at low ...
Arnaud Gotlieb, Matthieu Petit
CEC
2007
IEEE
14 years 12 days ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...