Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Reasoning over Bayesian Networks using Semantic Artificial Neural Networks

Batsakis Sotirios, Antoniou, Grigoris

Simple record


URIhttp://purl.tuc.gr/dl/dias/169D34AA-AD65-4316-A28F-DBE0373BD650-
Identifierhttps://doi.org/10.1109/IISA52424.2021.9555501-
Identifierhttps://ieeexplore.ieee.org/document/9555501-
Languageen-
Extent4 pagesen
TitleReasoning over Bayesian Networks using Semantic Artificial Neural Networksen
CreatorBatsakis Sotiriosen
CreatorΜπατσακης Σωτηριοςel
CreatorAntoniou, Grigorisen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryRepresentation of application domains, related concepts and their dependencies is often achieved using Bayesian Networks. In Bayesian Networks nodes represent random variables and arcs represent their dependencies. Since inference over Bayesian Networks is a complex task in this work a novel approach for representing and reasoning over Bayesian Networks using Semantically labeled Neural Networks is proposed and evaluated. Using Semantic Neural Networks combines advantages of Neural Networks such as wide adoption and highly optimized implementations while preserving the interpretability of Bayesian Networks which is an important requirement, especially in medical applications. In addition the proposed approach is evaluated over medical datasets with positive results.en
Type of ItemΔημοσίευση σε Συνέδριοel
Type of ItemConference Publicationen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2023-05-23-
Date of Publication2021-
SubjectParameter estimationen
SubjectSemanticsen
SubjectEstimationen
SubjectArtificial neural networksen
SubjectMedical servicesen
SubjectMachine learningen
SubjectCognitionen
Bibliographic CitationS. Batsakis and G. Antoniou, "Reasoning over Bayesian Networks using Semantic Artificial Neural Networks," presented at the 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania Crete, Greece, 2021, doi: 10.1109/IISA52424.2021.9555501.en

Services

Statistics