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102
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ICML
2006
IEEE
16 years 3 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
108
Voted
ESWS
2007
Springer
15 years 8 months ago
Semantic EPC: Enhancing Process Modeling Using Ontology Languages
Abstract. In this article we describe a semantic extension of event-driven process chains, with which it is possible to specify the semantics of individual model elements as it is ...
Oliver Thomas, Michael Fellmann
161
Voted
CCE
2005
15 years 2 months ago
Development and application of linear process model in estimation and control of reactive distillation
This paper presents a comprehensive formulation of a linearized state space process model for a generic two-reactant-two-product reactive distillation system. The development of t...
Moshood J. Olanrewaju, Muhammad A. Al-Arfaj
128
Voted
JUCS
2007
107views more  JUCS 2007»
15 years 2 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang
166
Voted
ICASSP
2008
IEEE
15 years 9 months ago
A hierarchical point process model for speech recognition
Aren Jansen, Partha Niyogi