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ICML
2008
IEEE
14 years 8 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
ICALP
2003
Springer
14 years 26 days ago
Hierarchical and Recursive State Machines with Context-Dependent Properties
Abstract. Hierarchical and recursive state machines are suitable abstract models for many software systems. In this paper we extend a model recently introduced in literature, by al...
Salvatore La Torre, Margherita Napoli, Mimmo Paren...
WSC
2000
13 years 9 months ago
Java engine for UML based hybrid state machines
One of the approaches to modeling hybrid systems is to assign algebraic-differential equations describing the continuous behavior to states of state machines that represent discre...
Andrei Borshchev, Yuri B. Kolesov, Yuri B. Seniche...
MODELS
2007
Springer
14 years 1 months ago
Enhancing UML State Machines with Aspects
Abstract. Separation of Concerns (SoC) is an important issue to reduce the complexity of software. Recent advances in programming language research show that Aspect-Oriented Progra...
Gefei Zhang, Matthias M. Hölzl, Alexander Kna...
SPIN
2007
Springer
14 years 1 months ago
An Embeddable Virtual Machine for State Space Generation
Abstract. The semantics of modelling languages are not always specified in a precise and formal way, and their rather complex underlying models make it a non-trivial exercise to r...
Michael Weber