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» Modeling Dependable Systems using Hybrid Bayesian Networks
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AADEBUG
1997
Springer
14 years 29 days ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
WSC
2000
13 years 10 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
QUESTA
2011
12 years 11 months ago
Queues with waiting time dependent service
Motivated by service levels in terms of the waiting-time distribution seen in e.g. call centers, we consider two models for systems with a service discipline that depends on the w...
René Bekker, G. M. Koole, B. F. Nielsen, T....
CN
2007
132views more  CN 2007»
13 years 8 months ago
FluNet: A hybrid internet simulator for fast queue regimes
Motivated by the scale and complexity of simulating large-scale networks, recent research has focused on hybrid fluid/packet simulators, where fluid models are combined with pac...
Yung Yi, Sanjay Shakkottai
DATE
2003
IEEE
114views Hardware» more  DATE 2003»
14 years 2 months ago
Extraction of Piecewise-Linear Analog Circuit Models from Trained Neural Networks Using Hidden Neuron Clustering
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
Simona Doboli, Gaurav Gothoskar, Alex Doboli