Zobrazeno 91 - 100
of 108
pro vyhledávání: '"Mieczyslaw A. Klopotek"'
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: 9783540659655
ISMIS
ISMIS
The paper provides a frequency-based interpretation for conditional belief functions that overcomes the well-formedness problem of DST belief networks by identifying a class of conditional belief functions for which well-formedness is granted.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69bf8a99c24f8703c79b0c65f9866471
https://doi.org/10.1007/bfb0095137
https://doi.org/10.1007/bfb0095137
Publikováno v:
Rough Sets and Current Trends in Computing ISBN: 9783540646556
Rough Sets and Current Trends in Computing
Rough Sets and Current Trends in Computing
The paper presents a novel view of the Dempster-Shafer belief function as a measure of diversity in relational data bases. The Dempster rule of evidence combination corresponds to the join operator of the relational database theory. This rough-set ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a3a854f5442a09de3d0f2de49b7fb2
https://doi.org/10.1007/3-540-69115-4_47
https://doi.org/10.1007/3-540-69115-4_47
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540636144
ISMIS
ISMIS
The paper presents a novel view of the Dempster-Shafer belief function as a measure of diversity in relational data bases. The Dempster rule of evidence combination corresponds to the join operator of the relational database theory. This rough-set ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3907538ebf7b75b2fe4b2e24e8eabdb9
https://doi.org/10.1007/3-540-63614-5_38
https://doi.org/10.1007/3-540-63614-5_38
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540612865
ISMIS
ISMIS
Valuation-Based System can represent knowledge in different domains including probability theory, Dempster-Shafer theory and possibility theory. More recent studies show that the framework of VBS is also appropriate for representing and solving Bayes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cda648a4cfeb1016da19724f38a573c4
https://doi.org/10.1007/3-540-61286-6_166
https://doi.org/10.1007/3-540-61286-6_166
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
Autor:
Mieczyslaw A. Klopotek
Publikováno v:
Fundamentals of Artificial Intelligence Research ISBN: 9783540545071
FAIR
FAIR
The Incremental Concept Formation method, as described in [19] is claimed therein to be “able to formulate diagnostically useful categories even without class information”, “given real world data on heart disease”. We suggest in this paper th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0118159662821520fb23465ab9b529
https://doi.org/10.1007/3-540-54507-7_9
https://doi.org/10.1007/3-540-54507-7_9
This volume contains selected papers, presented at the international c- ference on Intelligent Information Processing and Web Mining Conference nd IIS:IIPWM'06, organized in Ustro? (Poland) on June 19-22, 2006. The event was organized by the Institut