5153 search results - page 76 / 1031 » Introduction to Randomized Algorithms |
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
—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...
CEC
2007
IEEE
14 years 11 months ago
2007
IEEE
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
TAMC
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Kernelizations are an important tool in designing fixed parameter algorithms for parameterized decision problems. We introduce an analogous notion for counting problems,...
APPROX
2000
Springer
15 years 2 months ago
2000
Springer
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 ...
ICOIN
2004
Springer
15 years 3 months ago
2004
Springer
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...