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UAI
1997
15 years 5 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
CODES
2002
IEEE
15 years 9 months ago
A language for multiple models of computation
We introduce a new kernel language for modeling hardware/software systems, adopting multiple heterogenous models of computation. The language has formal operational semantics, and...
Dag Björklund, Johan Lilius
FIDJI
2004
Springer
15 years 8 months ago
Modeling and Analysis of Exception Handling by Using UML Statecharts
Our paper aims at proposing a framework that allows programmers to exploit the benefits of exception handling throughout the entire development Java programs by modeling exception ...
Gergely Pintér, István Majzik
ICRE
2000
IEEE
15 years 7 months ago
A Lightweight Approach to Consistency of Scenarios and Class Models
Today, object-oriented requirements specifications typically combine a scenario (or use case) model and a class model for expressing functional requirements. With any such combina...
Martin Glinz