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IJCNN
2007
IEEE
15 years 10 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin
CEC
2007
IEEE
15 years 5 months ago
Random search can outperform mutation
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
Cameron Skinner, Patricia J. Riddle
128
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APPROX
2000
Springer
153views Algorithms» more  APPROX 2000»
15 years 8 months ago
Randomized path coloring on binary trees
Motivated by the problem of WDM routing in all–optical networks, we study the following NP–hard problem. We are given a directed binary tree T and a set R of directed paths on ...
Vincenzo Auletta, Ioannis Caragiannis, Christos Ka...
ICPR
2004
IEEE
16 years 5 months ago
Surface Sculpting with Stochastic Deformable 3D Surfaces
This paper introduces a new stochastic surface model for deformable 3D surfaces and demonstrates its utility for the purpose of 3D sculpting. This is the problem of simple-touse a...
Andrew R. Willis, Jasper Speicher, David B. Cooper
ICOIN
2004
Springer
15 years 9 months ago
On Generating Random Network Structures: Connected Graphs
Abstract. In this paper we present the set of base algorithms for generating connected random graphs (RG). RG can be used for testing different algorithms on networks. The fast al...
Alexey S. Rodionov, Hyunseung Choo