Original title: On-line nonlinear estimation
Authors: Kulhavý, Rudolf
Document type: Papers
Conference/Event: CMP '98 /3./, Praha (CZ), 1998-07-25 / 1998-07-29
Year: 1998
Language: eng
Abstract: The Bayesian identification of complex models is known to require extensive computer resources. Practical implementation requires approximation of the theoretically optimal solution. The paper discusses three major approaches to approximate Bayesian estimation-local weighting of data, reduction of model family to representative points and minimum relative entropy restoration of the information divergence of the empirical and model distributions of data.
Project no.: AV0Z1075907 (CEP)
Host item entry: Preprint of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0130389

Permalink: http://www.nusl.cz/ntk/nusl-34772


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers