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» Modeling synchronized time series
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98
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CORR
2006
Springer
95views Education» more  CORR 2006»
15 years 3 months ago
A Markov Chain based method for generating long-range dependence
This paper describes a model for generating time series which exhibit the statistical phenomenon known as long-range dependence (LRD). A Markov Modulated Process based upon an inf...
Richard G. Clegg, Maurice Dodson
128
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CAI
2007
Springer
15 years 10 months ago
Learning Deterministically Recognizable Tree Series - Revisited
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
Andreas Maletti
136
Voted
BC
2007
113views more  BC 2007»
15 years 3 months ago
Akaike causality in state space
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Kin Foon Kevin Wong, Tohru Ozaki
138
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ACSD
2010
IEEE
251views Hardware» more  ACSD 2010»
15 years 1 months ago
Modular Interpretation of Heterogeneous Modeling Diagrams into Synchronous Equations Using Static Single Assignment
Abstract--The ANR project SPaCIFY develops a domainspecific programming environment, Synoptic, to engineer embedded software for space applications. Synoptic is an Eclipse-based mo...
Jean-Pierre Talpin, Julien Ouy, Thierry Gautier, L...
120
Voted
ACMSE
2006
ACM
15 years 9 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...