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» State, Event, Time and Diagram in System Modeling
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ICANN
2009
Springer
15 years 11 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
INFOCOM
1994
IEEE
15 years 10 months ago
Scheduling Nonuniform Traffic in a Packet Switching System with Small Propagation Delay
A new model of nonuniform traffic is introduced for a single-hop packet-switching system. This traffic model allows arbitrary traffic streams subject only to a constraint on the nu...
Timothy Weller, Bruce Hajek
ICMLA
2010
15 years 3 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
RE
2004
Springer
15 years 11 months ago
Fluent-Based Animation: Exploiting the Relation between Goals and Scenarios for Requirements Validation
Scenarios and goals are effective and popular techniques for requirements definition. Validation is essential in order to ensure that they represent what stakeholders actually wan...
Sebastián Uchitel, Robert Chatley, Jeff Kra...
ICST
2009
IEEE
15 years 4 months ago
Timed Testing under Partial Observability
This paper studies the problem of model-based testing of real-time systems that are only partially observable. We model the System Under Test (SUT) using Timed Game Automata (TGA)...
Alexandre David, Kim Guldstrand Larsen, Shuhao Li,...