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WSC
2004
15 years 8 months ago
Stochastic Petri Nets for Modelling and Simulation
Stochastic Petri nets (SPNs) have proven to be a powerful and enduring graphically-oriented framework for modelling and performance analysis of complex systems. This tutorial focu...
Peter J. Haas
174
Voted
AAAI
1996
15 years 8 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
UAI
1993
15 years 8 months ago
On reasoning in networks with qualitative uncertainty
In this paper some initialwork towards a new approach to qualitative reasoning under uncertainty is presented. This method is not only applicable to qualitative probabilistic reas...
Simon Parsons, E. H. Mamdani
CORR
2010
Springer
120views Education» more  CORR 2010»
15 years 6 months ago
State machine models of timing and circuit design
This paper illustrates a technique for specifying the detailed timing, logical operation, and compositional circuit design of digital circuits in terms of ordinary state machines w...
Victor Yodaiken
IJAR
2008
119views more  IJAR 2008»
15 years 6 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen