Výsledky vyhledávání

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A lattice-based representation of independence relations for efficient closure computation

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

Zobrazit plný text záznamu

Poset Representations for Sets of Elementary Triplets

Autor: van der Gaag, L.C., Bolt, J.H., Sub Decision Support Systems, Decision Support Systems

Publikováno v: Proceedings of the 10th International Conference on Probabilistic Graphical Models

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::5db47849241d26d4f465f8ace19efec5
https://dspace.library.uu.nl/handle/1874/414796

Zobrazit plný text záznamu

On Minimum Elementary-Triplet Bases for Independence Relations

Autor: Bolt, J.H., van der Gaag, L.C., Sub Decision Support Systems, Decision Support Systems

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::27787192cf0dfe9648a73cb90d9a1dc1
https://dspace.library.uu.nl/handle/1874/390166

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A Lattice Representation of Independence Relations

Autor: van der Gaag, L.C., Baioletti, M., Bolt, J.H.

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

Zobrazit plný text záznamu

Structure-based categorisation of Bayesian network parameters

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

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

Zobrazit plný text záznamu

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers

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

Zobrazit plný text záznamu

Exploiting Bayesian network sensitivity functions for inference in credal networks

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, Sub Decision Support Systems, Decision Support Systems

Publikováno v: ECAI 2016, 285, 646. IOS Press

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=narcis______::f6b727f65c534467cd839e5fe15ec9c3
https://dspace.library.uu.nl/handle/1874/339494

Zobrazit plný text záznamu

Bayesian networks: a combined tuning heuristic

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

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání