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CSDA
2007
108views more  CSDA 2007»
15 years 4 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
ASM
2000
ASM
15 years 8 months ago
Modeling the Dynamics of UML State Machines
We define the dynamic semantics of UML State Machines which integrate statecharts with the UML object model. The use of ASMs allows us (a) to rigorously model the event driven run...
Egon Börger, Alessandra Cavarra, Elvinia Ricc...
ICST
2010
IEEE
15 years 2 months ago
Timed Moore Automata: Test Data Generation and Model Checking
Abstract—In this paper we introduce Timed Moore Automata, a specification formalism which is used in industrial train control applications for specifying the real-time behavior ...
Helge Löding, Jan Peleska
SASO
2009
IEEE
15 years 11 months ago
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies
Abstract—Unstructured peer-to-peer networks can be extremely flexible, but, because of size, complexity, and high variability in peers’ capacity and reliability, it is a conti...
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valett...
ICIP
2005
IEEE
15 years 10 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui