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ICPR
2008
IEEE
16 years 1 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
DSN
2002
IEEE
15 years 11 months ago
Evaluation of the Maximum Level Reached by a Queue Over a Finite Period
This paper deals with the performance analysis of a system modeled by a queue. If we are interested in occupation problems and if we look at the transient phase, then it makes sen...
Gerardo Rubino
EPIA
1999
Springer
15 years 11 months ago
A New Approach to Base Revision
We present three approaches to revision of belief bases, which are also examined in the case in which the sentences in the base are partitioned between those which can and those wh...
Paolo Di Giusto, Guido Governatori
LPAR
2000
Springer
15 years 10 months ago
On the Complexity of Theory Curbing
In this paper, we determine the complexity of propositional theory curbing. Theory Curbing is a nonmonotonic technique of common sense reasoning that is based on model minimality b...
Thomas Eiter, Georg Gottlob
COLING
1990
15 years 7 months ago
Deep Sentence Understanding in a Restricted Domain
We present here the current prototype of the text understanding system HELENE. The objective of this system is to achieve a deep understanding of small reports dealing with a rest...
Pierre Zweigenbaum, Marc Cavazza