1704 search results - page 242 / 341 » Learning nonlinear dynamic models |
AAAI
2010
15 years 21 days ago
2010
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
100
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EMNLP
2008
15 years 21 days ago
2008
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
WSC
1997
1997
Interactive Strategies for Developing Intuitive Knowledge as Basis for Simulation Modeling Education
15 years 17 days ago
This paper investigates theoretically based instructional approaches for organizational training, education and knowledge acquisition for simulation modeling. It proposes differen...
104
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IROS
2008
IEEE
15 years 5 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
AIMSA
2000
Springer
15 years 3 months ago
2000
Springer
Allowing the student to have some control over the diagnosis inspecting and changing the model the system has made of him is a feasible approach in student modelling which tracks t...