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WSC
1997
14 years 10 months ago
Modeling Dependencies in Stochastic Simulation Inputs
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
James R. Wilson
CRITIS
2008
14 years 11 months ago
Multi-level Dependability Modeling of Interdependencies between the Electricity and Information Infrastructures
The interdependencies between infrastructures may be the cause of serious problems in mission/safety critical systems. In the CRUTIAL3 project the interdependencies between the ele...
Marco Beccuti, Giuliana Franceschinis, Mohamed Ka&...
ECML
2007
Springer
15 years 3 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
74
Voted
EACL
2003
ACL Anthology
14 years 11 months ago
Information Structure in Topological Dependency Grammar
Topological Dependency Grammar (TDG) is a lexicalized dependency grammar formalism, able to model languages with a relatively free word order. In such languages, word order variat...
Geert-Jan M. Kruijff, Denys Duchier
ICASSP
2011
IEEE
14 years 1 months ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...