We address the problem of estimating discrete variables in a class of deterministic transition systems in which the continuous variables are available for measurement. We propose ...
Domitilla Del Vecchio, Richard M. Murray, Eric Kla...
Abstract. In earlier work, we developed a mathematical hybrid I/O automaton (HIOA) modeling framework, capable of describing both discrete and continuous behavior. This framework h...
Nancy A. Lynch, Roberto Segala, Frits W. Vaandrage...
This paper addresses the problem of tracking and diagnosing complex systems with mixtures of discrete and continuous variables. This problem is a difficult one, particularly when ...
Uri Lerner, Ronald Parr, Daphne Koller, Gautam Bis...
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...