Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Future Generation Computer Systems. 21:1068-1082
This paper presents a newly developed algorithm learning very large tree-like Bayesian networks from data and exploits it to create a Bayesian multinet (BMN) classifier for natural language text documents. Results of empirical evaluation of this BMN
Publikováno v:
Fundamenta Informaticae. 30:359-371
In the literature, the optimization problem to identify a set of composite hypotheses H, which will yield the k largest P(H|S e) where a composite hypothesis is an instantiation of all the nodes in the network except the evidence nodes [17] is of sig
Autor:
Dariusz Czerski, Mieczyslaw A. Klopotek, Krzysztof Ciesielski, Michał Dramiński, Slawomir T. Wierzchon
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
ICANN (2)
SOM document-map based search engines require initial document clustering in order to present results in a meaningful way. This paper1 reports on our ongoing research in applications of Bayesian Networks for document map creation at various stages of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e72ed682889c55412b8b69c5409c6d
https://doi.org/10.1007/11550907_136
https://doi.org/10.1007/11550907_136
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540437857
ISMIS
ISMIS
A well-known problem with Bayesian networks (BN) is the practical limitation for the number of variables for which a Bayesian network can be learned in reasonable time. Even the complexity of simplest tree-like BN learning algorithms is prohibitive f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31884c76792caa06ae8ddf0bf7664c4
https://doi.org/10.1007/3-540-48050-1_14
https://doi.org/10.1007/3-540-48050-1_14
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Intelligent Information Systems 2002 ISBN: 9783790815092
Intelligent Information Systems
Intelligent Information Systems
The paper presents a proof of the famous claim about no-go-toprograms and analyses its impact onto reasoning in Bayesian networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e31fb1d0ff01ce1d41b4f112a7995a
https://doi.org/10.1007/978-3-7908-1777-5_39
https://doi.org/10.1007/978-3-7908-1777-5_39
Autor:
Wieslaw Pawlowski, Marek A. Bednarczyk, Andrzej Wasowski, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Maciej Michalewicz
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783790814071
Intelligent Information Systems
Intelligent Information Systems
The paper provides an exhaustive description of a new system serving learning, viewing and reasoning with Bayesian networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63575d59272529cc2897017bb588fab6
https://doi.org/10.1007/978-3-7908-1813-0_16
https://doi.org/10.1007/978-3-7908-1813-0_16
Publikováno v:
Intelligent Information Systems ISBN: 9783790813098
Intelligent Information Systems
Intelligent Information Systems
The paper presents a concept of a new class of algorithms for discovery of Bayesian networks from data. The basic difficulty of many incremental discovery algorithms in this area is the increasing number of potentially equivalent orientations of edge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeeff93ad74850fa0dd02ddb34510b82
https://doi.org/10.1007/978-3-7908-1846-8_25
https://doi.org/10.1007/978-3-7908-1846-8_25
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540659655
ISMIS
ISMIS
The paper describes a diagnostic system for hand wounds. The system shall not only propose diagnostic decisions (because this would not be sufficient for starting a complex therapeutic treatment), but shall also provide with a number of subdiagnoses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d2dbadf0f2e5183b07f431a84bc52d
https://doi.org/10.1007/bfb0095122
https://doi.org/10.1007/bfb0095122
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540617082
KI
KI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d80862eaa90acd447365cee8ffe42c58
https://doi.org/10.1007/3-540-61708-6_58
https://doi.org/10.1007/3-540-61708-6_58
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Machine Learning: ECML-94 ISBN: 9783540578680
ECML
ECML
Hidden variables are well known sources of disturbance when recovering belief networks from data based only on measurable variables. Hence models assuming existence of hidden variables are under development. This paper presents a new algorithm exploi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cca42e42e593c27cf0dee677d0546c0
https://doi.org/10.1007/3-540-57868-4_78
https://doi.org/10.1007/3-540-57868-4_78