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» High-level approach to modeling of observed system behavior
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CVPR
1998
IEEE
16 years 8 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
FORTE
2007
15 years 8 months ago
Formal Analysis of Publish-Subscribe Systems by Probabilistic Timed Automata
Abstract. The publish-subscribe architectural style has recently emerged as a promising approach to tackle the dynamism of modern distributed applications. The correctness of these...
Fei He, Luciano Baresi, Carlo Ghezzi, Paola Spolet...
ISCI
2008
137views more  ISCI 2008»
15 years 6 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
ECSQARU
1995
Springer
15 years 10 months ago
Model-Based Diagnostics Using Hints
It is often possible to describe the correct functioning of a system by a mathematical model. As long as observations or measurements correspond to the predictions made by the mod...
Jürg Kohlas, Paul-André Monney, Rolf H...
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 19 days ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson