Zobrazeno 81 - 90
of 108
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
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
Publikováno v:
Intelligent Information Systems 2002 ISBN: 9783790815092
Intelligent Information Systems
Intelligent Information Systems
The paper presents a new algorithm for the problem of an enumeration protocol for nodes in a network. The new algorithm, contrary to previous ones, is local both in information access (neighborhood only) and information stored (proportional to the nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::052e5e95e5dbbc13fd6bccc1352e9e66
https://doi.org/10.1007/978-3-7908-1777-5_32
https://doi.org/10.1007/978-3-7908-1777-5_32
Autor:
Marek A. Bednarczyk, Andrzej Jodlowski, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Wieslaw Pawlowski, Krzysztof Skowronski, Maciej Michalewicz
Publikováno v:
Flexible Query Answering Systems ISBN: 9783790813470
FQAS
ResearcherID
FQAS
ResearcherID
The paper presents an approach to knowledge integration coming from different databases. It is based on model tree construction from databases with both discrete and continuous attributes. The methodology of model trees is explained. Some information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01b059ac835b4938f8cd4c6e00dc00ad
https://doi.org/10.1007/978-3-7908-1834-5_52
https://doi.org/10.1007/978-3-7908-1834-5_52
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Advances in Intelligent and Soft Computing ISBN: 9783790814071
Intelligent Information Systems
Intelligent Information Systems
This paper analyses properties of conceptual hierarchy obtained via incremental concept formation method called “flexible prediction” in order to determine what kind of “relevance” of participating attributes may be requested for meaningful c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81abf4aa4898f298cfafb47117b39b91
https://doi.org/10.1007/978-3-7908-1813-0_9
https://doi.org/10.1007/978-3-7908-1813-0_9
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:
Advances in Intelligent and Soft Computing ISBN: 9783790814071
Intelligent Information Systems 2001
Intelligent Information Systems 2001
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b50717925d734c04e24b5a883b869d27
https://doi.org/10.1007/978-3-7908-1813-0
https://doi.org/10.1007/978-3-7908-1813-0
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:
Intelligent Information Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b430b8e0ec537fa9e0e0597db924d115
https://doi.org/10.1007/978-3-7908-1846-8
https://doi.org/10.1007/978-3-7908-1846-8
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Intelligent Information Systems ISBN: 9783790813098
Intelligent Information Systems
Intelligent Information Systems
In this paper an idea of modeling technical processes for purposes of process optimization with restricted amount of experimental data is described. It is based on tuning micro-models to reflect real-world data. Quickly learning probabilistic neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b22906daa98d28baf5359da4d0b68b9e
https://doi.org/10.1007/978-3-7908-1846-8_20
https://doi.org/10.1007/978-3-7908-1846-8_20