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CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
14 years 2 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
ECRTS
2002
IEEE
14 years 2 months ago
Scope-Tree: A Program Representation for Symbolic Worst-Case Execution Time Analysis
Most WCET analysis techniques only provide an upper bound on the worst case execution time as a constant value. However, it often appears that the execution time of a piece of cod...
Antoine Colin, Guillem Bernat
MCS
2001
Springer
14 years 2 months ago
Finding Consistent Clusters in Data Partitions
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
Ana L. N. Fred
UAI
2000
13 years 11 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
JMLR
2006
143views more  JMLR 2006»
13 years 10 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos