Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5665
Title: An Investigation into Error Propagation Chained Model
Contributor(s): Gao, Junbin (author)
Publication Date: 2003
Handle Link: https://hdl.handle.net/1959.11/5665
Abstract: In this paper we describe several possible approaches for estimating uncertainty in the target output in the chained models. We introduce the approaches from the simple linear model, the nonlinear to the Bayesian modelling method including Markov Chain Monte Carlo simulation algorithm. Under several rough assumptions we derive some approximated estimation formulas. The estimated formulas strongly depend not only on the characteristic property of the noises existed in both input pattern and output pattern but also on the given model structure f(x,w) as well as the training dataset.
Publication Type: Conference Publication
Conference Name: 2003 International Conference on Machine Learning and Cybernetics, Xi'an, China, 2 - 5 November, 2003
Conference Details: 2003 International Conference on Machine Learning and Cybernetics, Xi'an, China, 2 - 5 November, 2003
Source of Publication: Proceedings of the 2nd International Conference on Machine Learning and Cybernetics, p. 1168-1173
Publisher: IEEE: Institute of Electrical and Electronics Engineers Systems
Place of Publication: United States of America
Field of Research (FOR): 080108 Neural, Evolutionary and Fuzzy Computation
Socio-Economic Outcome Codes: 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Category Description: E4 Editorship of Scholarly Conference Proceedings
Other Links: http://trove.nla.gov.au/work/17536094
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