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pro vyhledávání: '"Bolt, J.H."'
Autor:
Bolt, J.H., van der Gaag, L.C., Baioletti, M., Sub Decision Support Systems, Decision Support Systems
Publikováno v:
International Journal of Approximate Reasoning, 126, 272. Elsevier
Independence relations in general include exponentially many statements of independence, that is, exponential in the number of variables involved. These relations are typically characterised however, by a small set of such statements and an associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1468353aedada37de8e68884007154b
https://dspace.library.uu.nl/handle/1874/410532
https://dspace.library.uu.nl/handle/1874/410532
Autor:
van der Gaag, L.C., Bolt, J.H.
Semi-graphoid independence relations, composed of independence triplets, are typically exponentially large in the number of variables involved. For compact representation of such a relation, just a subset of its triplets, called a basis, are listed e
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https://explore.openaire.eu/search/publication?articleId=od_______101::582676a39df29f19dd9b5af18c0712a9
https://dspace.library.uu.nl/handle/1874/414796
https://dspace.library.uu.nl/handle/1874/414796
Publikováno v:
Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications, 103, 32. Microtome Publishing
A semi-graphoid independence relation is a set of independence statements, called triplets, and is typically exponentially large in the number of variables involved. For concise representation of such a relation, a subset of its triplets is listed in
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https://explore.openaire.eu/search/publication?articleId=narcis______::27787192cf0dfe9648a73cb90d9a1dc1
https://dspace.library.uu.nl/handle/1874/390166
https://dspace.library.uu.nl/handle/1874/390166
Akademický článek
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Independence relations in general include exponentially many statements of independence, that is, exponential in terms of the number of variables involved. These relations are typically fully characterised however, by a small set of such statements a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::0f86f30b0ad7d3b80f020590a54062ed
https://dspace.library.uu.nl/handle/1874/371925
https://dspace.library.uu.nl/handle/1874/371925
Autor:
Bolt, J.H., Renooij, S., Antonucci, Alessandro, Cholvy, Laurence, Papini, Odile, Decision Support Systems, Sub Decision Support Systems
Publikováno v:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10369, 83. Springer Cham
Lecture Notes in Computer Science ISBN: 9783319615806
ECSQARU
Lecture Notes in Computer Science ISBN: 9783319615806
ECSQARU
Bayesian networks typically require thousands of probability para-meters for their specification, many of which are bound to be inaccurate. Know-ledge of the direction of change in an output probability of a network occasioned by changes in one or mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df943ac25b2799e52c2ea3c611ba5a98
https://dspace.library.uu.nl/handle/1874/427806
https://dspace.library.uu.nl/handle/1874/427806
Autor:
Bolt, J.H., van der Gaag, L.C.
Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions. Like more traditional classifiers, multi-dimensional classifiers are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::390341b0b6694155c0d82fee167c4cdf
https://dspace.library.uu.nl/handle/1874/347473
https://dspace.library.uu.nl/handle/1874/347473
Autor:
Bolt, J.H., Antonucci, Alessandro, Corani, Giorgio, de Campos, Cassio P., Sub Decision Support Systems, Decision Support Systems
Publikováno v:
Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 52, 37
One of the issues in tuning an output probability of a Bayesian network by changing multiple parameters is the relative amount of the individual parameter changes. In an existing heuristic parameters are tied such that their changes induce locally a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::b6f2a5cac95396b6c02447525eca15d0
https://dspace.library.uu.nl/handle/1874/339499
https://dspace.library.uu.nl/handle/1874/339499
Autor:
Bolt, J.H., De Bock, Jasper, Renooij, S., Kaminka, Gal A., Fox, Maria, Bouquet, Paolo, Hüllermeier, Eyke, Dignum, Virginia, Dignum, Frank, Harmelen, Frank van
A Bayesian network is a concise representation of a joint probability distribution, which can be used to compute any probability of interest for the represented distribution. Credal networks were introduced to cope with the inevitable inaccuracies in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::3d30dbfcd0120a926dfba06b5c26f122
https://dspace.library.uu.nl/handle/1874/339494
https://dspace.library.uu.nl/handle/1874/339494
Autor:
Bolt, J.H.
A Bayesian network can be used to model consisely the probabilistic knowledge with respect to a given problem domain. Such a network consists of an acyclic directed graph in which the nodes represent stochastic variables, supplemented with probabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::ab841a419c98a1b5b86f17f5fdcfc334
https://dspace.library.uu.nl/handle/1874/27154
https://dspace.library.uu.nl/handle/1874/27154