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ESANN
2007
14 years 11 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell
CCE
2004
14 years 10 months ago
Retrospective on optimization
In this paper we provide a general classification of mathematical optimization problems, followed by a matrix of applications that shows the areas in which these problems have bee...
Lorenz T. Biegler, Ignacio E. Grossmann
ICTAI
2009
IEEE
15 years 4 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
MOR
2008
81views more  MOR 2008»
14 years 10 months ago
Optimal Stopping of Linear Diffusions with Random Discounting
Abstract. We propose a new solution method for optimal stopping problems with random discounting for linear diffusions whose state space has a combination of natural, absorbing, or...
Savas Dayanik
ECML
2006
Springer
15 years 1 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi