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NIPS
1998
15 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
JDCTA
2010
111views more  JDCTA 2010»
15 years 1 months ago
A Conceptual Representation of Consumer's Group Knowledge and the Possible Role of New Technologies
The purpose of this article is to encourage research on the aspects of consumer behaviour, particularly as found in groups of consumers. For both researchers and practitioners, co...
Massimo Franco, Francesca Di Virgilio, Loredana Di...
TSMC
2010
15 years 1 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
ICDE
2011
IEEE
247views Database» more  ICDE 2011»
14 years 10 months ago
Process flexibility through customizable activities: A mashup-based approach
Abstract— In several contexts, the success of Workflow applications is limited by the excess of rigidity of workflow enactment, which leaves no freedom to end-users to “custo...
Marco Fisichella, Maristella Matera
CDC
2010
IEEE
14 years 10 months ago
On the stability of wholesale electricity markets under real-time pricing
— The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing ...
Mardavij Roozbehani, Munther Dahleh, Sanjoy K. Mit...