Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Kristian G. Olesen"'
Publikováno v:
Olesen, K G, Andreassen, S & Suojanen, M 2003, ' Modularizing Inference in Large Causal Probabilistic Networks ', International Journal of Intelligent Systems, vol. 18, no. 2, pp. 179-191 .
This article describes a number of implementation aspects of modular inference in large medical expert systems based on causal probabilistic networks. Examples are provided from the neuromuscular diagnosting system the muscle and nerve inference netw
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 32:32-38
The widespread use of influence diagrams to represent and solve Bayesian decision problems is still limited by the inflexibility and rather restrictive semantics of influence diagrams. We propose a number of extensions and adjustments to the definiti
Publikováno v:
Flores, M J, Gámez, J A & Olesen, K G 2011, ' Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs ', International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 19, no. 2, pp. 155-191 . https://doi.org/10.1142/S0218488511006952
When a Bayesian network (BN) is modified, for example adding or deleting a node, or changing the probability distributions, we usually will need a total recompilation of the model, despite feeling that a partial (re)compilation could have been enough
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf64a5f90ccd6c40d9e7e16c1bbca6b9
https://vbn.aau.dk/da/publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541
https://vbn.aau.dk/da/publications/d0e7bc13-9a76-4d3e-ac64-982a6ac4c541
Autor:
Kristian G. Olesen
Publikováno v:
Olesen, K G 1993, ' Causal probabilistic networks with both discrete and continuous variables ', IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 15, no. 3, pp. 275-279 . https://doi.org/10.1109/34.204909
An extension of the expert system shell known as handling uncertainty by general influence networks (HUGIN) to include continuous variables, in the form of linear additive normally distributed variables, is presented. The theoretical foundation of th
Causal probabilistic network modeling—illustration of its role in the management of chronic diseases
Publikováno v:
IBM Systems Journal. 31:635-648
This paper describes the role of the novel technique of causal probabilistic network (CPN) modeling as an approach to tackling control system problems typified by that of the administration of treatment to the patient suffering from a chronic disease
Publikováno v:
Andreassen, S, Jensen, F V & Olesen, K G 1991, ' Medical expert systems based on causal probabilistic networks ', International Journal of Biomedical Computing, vol. 28, no. 1-2, pp. 1-30 .
Causal probabilistic networks (CPNs) offer new methods by which you can build medical expert systems that can handle all types of medical reasoning within a uniform conceptual framework. Based on the experience from a commercially available system an
Autor:
Kristian G. Olesen, Anders L. Madsen
Publikováno v:
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 32(1)
The authors present a method for decomposition of Bayesian networks into their maximal prime subgraphs. The correctness of the method is proven and results relating the maximal prime subgraph decomposition (MPD) to the maximal complete subgraphs of t
Publikováno v:
Jensen, F V, Olesen, K G & Andersen, S K 1990, ' An algebra of Bayesian belief universes for knowledge-based systems ', Networks (New York), vol. 20, no. 5, pp. 637-659 . https://doi.org/10.1002/net.3230200509
Causal probabilistic networks (CPNs) have proved to be a useful knowledge representation tool for modeling domains where causal relations-in a broad sense-are a natural way of relating domain concepts and where uncertainty is inherited in these relat
Autor:
Tom Brøndsted, Paul Dalsgaard, Lars Bo Larsen, Michael Manthey, Paul Mc Kevitt, Thomas B. Moeslund, Kristian G. Olesen
Publikováno v:
Brøndsted, T, Dalsgaard, P, Larsen, L B, Manthey, M, Kevitt, P M, Moeslund, T B & Olesen, K G 2002, CHAMELEON : a general platform for performing intellimedia . in Mc Kevitt, Paul (ed.) (ed.), Language, vision and music . John Benjamins Publishing Company, Advances in Consciousness Research, no. 35, pp. 79-96 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5079a95fb12b37cacb64f350d05357e
https://vbn.aau.dk/da/publications/17772f30-7489-11db-abfe-000ea68e967b
https://vbn.aau.dk/da/publications/17772f30-7489-11db-abfe-000ea68e967b
Autor:
Kristian G. Olesen, Thomas B. Moeslund, Lars Bo Larsen, Paul Mc Kevitt, Michael Manthey, Tom Brøndsted
Publikováno v:
Text, Speech and Language Technology ISBN: 9789048160242
Intelligent multimedia (IntelliMedia), which involves the computer processing and understanding of perceptual input from at least speech, text and visual images, and then reacting to it, is complex and involves signal and symbol processing techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9367d4c1f550dde4f3fd935f2e50262c
https://doi.org/10.1007/978-94-017-2367-1_7
https://doi.org/10.1007/978-94-017-2367-1_7