Results 41 to 50 of about 4,763,908 (250)
Bayesian-Torch: Bayesian neural network layers for uncertainty estimation
, 2022 Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks.
Pi Esposito +2 more
core +1 more source
A multi-layered Bayesian network model for structured document retrieval [PDF]
, 2004 New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and present documents according to the given document structure. The paper presents
Fernandez Luna, Juan M. +3 more
core +4 more sources
Future Internet, 2023 For the current stage of complex and changing network environments and correlated and synchronized vulnerability attacks, this study first fuses attack graph technology and Bayesian networks and constructs Bayesian attack graphs toportray the correlation
Kongpei Wu, Huiqin Qu, Conggui Huang
doaj +1 more source
Non-homogeneous dynamic Bayesian networks for continuous data [PDF]
, 2011 : Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with non-homogeneous temporal processes. Various approaches to relax the homogeneity assumption have recently been proposed.
Husmeier, D. +5 more
core +1 more source
The Scientific World Journal, 2014 A large number of data is needed by the computation of the objective Bayesian network, but the data is hard to get in actual computation. The calculation method of Bayesian network was improved in this paper, and the fuzzy-precise Bayesian network was ...
Jiali Wang, Qingnian Zhang, Wenfeng Ji
doaj +1 more source
Discrete Dynamics in Nature and Society, 2014 This paper presents a Bayesian network model for estimating origin-destination matrices. Most existing Bayesian methods adopt prior OD matrixes, which are always troublesome to be obtained.
Lin Cheng +3 more
doaj +1 more source
Research on Human Factors Reliability of Electric Power Enterprises Based on HFCRA Model [PDF]
SHS Web of Conferences, 2023 Based on Bayesian network, this paper establishes a human factor analysis tool-Human Factor Classification and Reliability Analysis (HFCRA) model, and analyzes the key factors of human error in power enterprises by combining the human events and data of ...
Liu Junfeng +3 more
doaj +1 more source
Monotonicity in Bayesian Networks
CoRR, 2004 Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
van der Gaag, L.C. +2 more
openaire +6 more sources
Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network
IEEE Access, 2021 Gene regulatory network can intuitively reflect the interaction between genes, and an in-depth study of these relationships plays a significant role in the treatment and prevention of clinical diseases.
Luxuan Qu +6 more
doaj +1 more source
Grid Quality of Service Trustworthiness Evaluation Based on Bayesian Network
IEEE Access, 2020 Quality of Service (QoS) is applied to evaluate the satisfaction level of users using a service and it is a measure and evaluation of the service level of service providers.
Yiling Huang
doaj +1 more source