2103 search results - page 256 / 421 » Approximate Learning of Dynamic Models |
161
Voted
ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
147
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AAAI
2010
15 years 7 months 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...
179
Voted
EMNLP
2008
15 years 7 months 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...
162
Voted
WSC
1997
1997
Interactive Strategies for Developing Intuitive Knowledge as Basis for Simulation Modeling Education
15 years 7 months ago
This paper investigates theoretically based instructional approaches for organizational training, education and knowledge acquisition for simulation modeling. It proposes differen...
160
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BC
2008
15 years 6 months ago
2008
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...