UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support

Artificial intelligence in medicine, 2016-02, Vol.67, p.75-93

2016

Volltextzugriff (PDF)

COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

Journal of risk research, 2020-08, Vol.23 (7-8), p.862-865

2020

Volltextzugriff (PDF)

An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems

IEEE transactions on knowledge and data engineering, 2019-12, Vol.31 (12), p.2441-2445

2019

Volltextzugriff (PDF)

A causal Bayesian network approach for consumer product safety and risk assessment

Journal of safety research, 2022-02, Vol.80, p.198-214

2022

Volltextzugriff (PDF)

Categorical Updating in a Bayesian Propensity Problem

Cognitive science, 2023-07, Vol.47 (7), p.e13313-n/a

2023

Volltextzugriff (PDF)

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

IEEE transactions on knowledge and data engineering, 2007-10, Vol.19 (10), p.1420-1432

2007

Volltextzugriff (PDF)

The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks

PloS one, 2017-06, Vol.12 (6), p.e0179297-e0179297

2017

Volltextzugriff (PDF)

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

Knowledge-based systems, 2013-09, Vol.50, p.60-86

2013

Volltextzugriff (PDF)

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models

IEEE access, 2021, Vol.9, p.125428-125438

2021

Volltextzugriff (PDF)

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

IEEE access, 2018-01, Vol.6, p.7802-7817

2018

Volltextzugriff (PDF)

Predicting software defects in varying development lifecycles using Bayesian nets

Information and software technology, 2007, Vol.49 (1), p.32-43

2007

Volltextzugriff (PDF)

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model

Computers & security, 2020-02, Vol.89, p.101659, Article 101659

2020

Volltextzugriff (PDF)

Improve statistics in court

Nature (London), 2011-11, Vol.479 (7371), p.36-37

Fenton, Norman

2011

Volltextzugriff (PDF)

Current review and next steps for artificial intelligence in multiple sclerosis risk research

Computers in biology and medicine, 2021-05, Vol.132, p.104337-104337, Article 104337

2021

Volltextzugriff (PDF)

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks

IEEE software, 2014-03, Vol.31 (2), p.21-26

2014

Volltextzugriff (PDF)

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

Expert systems with applications, 2016-09, Vol.56, p.197-208

2016

Volltextzugriff (PDF)

Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Journal of risk research, 2020-08, Vol.23 (7-8), p.866-879

2020

Volltextzugriff (PDF)

Region‐based estimation of the partition functions for hybrid Bayesian network models

International journal of intelligent systems, 2022-11, Vol.37 (11), p.8897-8927

2022

Volltextzugriff (PDF)

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Expert systems with applications, 2016-10, Vol.60, p.141-155

2016

Volltextzugriff (PDF)

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

The Journal of artificial intelligence research, 2020-01, Vol.69, p.231-295

2020

Volltextzugriff (PDF)

An empirical study of Bayesian network parameter learning with monotonic influence constraints

Decision Support Systems, 2016-07, Vol.87, p.69-79

2016

Volltextzugriff (PDF)

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

IEEE transactions on knowledge and data engineering, 2019-04, Vol.31 (4), p.813-817

2019

Volltextzugriff (PDF)

Not just data: A method for improving prediction with knowledge

Journal of biomedical informatics, 2014-04, Vol.48, p.28-37

2014

Volltextzugriff (PDF)

When and where to transfer for Bayesian network parameter learning

Expert systems with applications, 2016-08, Vol.55, p.361-373

2016

Volltextzugriff (PDF)

Analyzing the Simonshaven Case Using Bayesian Networks

Topics in cognitive science, 2020-10, Vol.12 (4), p.1092-1114

2020

Volltextzugriff (PDF)

1 – 25 von 40

Suche als RSS-Feed

Aktive Filter

KollektionTaylor & Francis eBooks A-Z

ThemaBayesian Analysis

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(38)
Mit Volltextzugriff
(40)

Publikationsform

Artikel
(39)
Tagungsberichte
(1)

Sprache

Englisch
(40)

Erscheinungsjahr

n.n

Thema

Science & Technology
(34)
Computer Science
(30)
Technology
(30)
Bayesian Networks
(23)
Computer Science, Artificial Intelligence
(19)
Engineering
(15)
Mathematical Models
(14)
Engineering, Electrical & Electronic
(11)
Studies
(11)
Uncertainty
(11)
Computer Science, Information Systems
(10)
Algorithms
(9)
Life Sciences & Biomedicine
(8)
Social Sciences
(8)
Humans
(7)
Networks
(7)
Risk Assessment
(7)
Bayes Theorem
(6)
Risk Analysis
(6)

14 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support

COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

An Extension to the Noisy-OR Function to Resolve the 'Explaining Away' Deficiency for Practical Bayesian Network Problems

A causal Bayesian network approach for consumer product safety and risk assessment

Categorical Updating in a Bayesian Propensity Problem

Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

A Study of Using Bethe/Kikuchi Approximation for Learning Directed Graphic Models

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

Predicting software defects in varying development lifecycles using Bayesian nets

A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model

Improve statistics in court

Current review and next steps for artificial intelligence in multiple sclerosis risk research

Decision Support Software for Probabilistic Risk Assessment Using Bayesian Networks

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Region‐based estimation of the partition functions for hybrid Bayesian network models

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

An empirical study of Bayesian network parameter learning with monotonic influence constraints

Addressing the Practical Limitations of Noisy-OR Using Conditional Inter-Causal Anti-Correlation with Ranked Nodes

Not just data: A method for improving prediction with knowledge

When and where to transfer for Bayesian network parameter learning

Analyzing the Simonshaven Case Using Bayesian Networks

Aktive Filter

Suchergebnisse filtern