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...
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...
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
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...
— 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...