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SIMPRA
2008
125views more  SIMPRA 2008»
13 years 10 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
FOCM
2010
108views more  FOCM 2010»
13 years 9 months ago
Parallelization Method for a Continuous Property
Abstract. An automated method of general purpose is introduced for computing a rigorous estimate of a bounded region in Rn whose points satisfy a given property. The method is base...
Pawel Pilarczyk
BMCBI
2007
215views more  BMCBI 2007»
13 years 10 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
EMNLP
2008
14 years 5 days ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
TCSV
2002
121views more  TCSV 2002»
13 years 10 months ago
Rate-constrained multihypothesis prediction for motion-compensated video compression
Abstract-- This article investigates linearly combined motion-compensated signals for video compression. In particular, we discuss multiple motion-compensated signals that are join...
Markus Flierl, Thomas Wiegand, Bernd Girod