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CIKM
2011
Springer
8 years 5 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
AUSAI
2006
Springer
9 years 9 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
IWSSD
2000
IEEE
9 years 10 months ago
Hybrid Model Visualization in Requirements and Design: A Preliminary Investigation
This paper reports on a preliminary investigation into applying work on graphic animation of behavioral models to an air traffic control case study – the National Air Traffic Se...
Jeff Magee, Jeff Kramer, Bashar Nuseibeh, David Bu...
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
9 years 11 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
9 years 12 months ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
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