[PDF][PDF] An overview of bayesian network applications in uncertain domains
Uncertainty is a major barrier in knowledge discovery from complex problem domains.
Knowledge discovery in such domains requires qualitative rather than quantitative analysis …
Knowledge discovery in such domains requires qualitative rather than quantitative analysis …
A context-aware approach in realization of socially intelligent industrial robots
Contemporary industrial environments are usually constrained or limited in order to fit a fast,
cheap and non-error prone production. Human-like system capabilities are not generally …
cheap and non-error prone production. Human-like system capabilities are not generally …
A Bayesian Approach to Constructing Probabilistic Models from Knowledge Graphs.
H Freedman, J Metzger… - … Journal of Semantic …, 2024 - search.ebscohost.com
Making predictions bounded by uncertainty is a crucial component of modern decision
support systems. Knowledge graphs provide a structured, semantic-oriented approach to …
support systems. Knowledge graphs provide a structured, semantic-oriented approach to …
Autonomie decision making based on bayesian networks and ontologies
In modern decision making systems, it is necessary to develop ways to optimize the
decisions. To achieve this objective, new paradigms are necessary, as those linked to …
decisions. To achieve this objective, new paradigms are necessary, as those linked to …
Context-aware system applied in industrial assembly environment
The objective of this paper is to present an ongoing development of a context-aware system
used within industrial environments. The core of the system is so-called Cognitive Model for …
used within industrial environments. The core of the system is so-called Cognitive Model for …
Ontology modeling for probabilistic knowledge graphs
H Freedman, N Abolhassani… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Reasoning about data given uncertain future conditions is a crucial component of modern
decision support systems. While ontologies allow domain-specific data to be represented in …
decision support systems. While ontologies allow domain-specific data to be represented in …
Bayesian approach to robot group control
The objective of this paper is to discuss the probabilistic part of the model for robot group
control applied in industrial applications. The proposed model is based on well-known …
control applied in industrial applications. The proposed model is based on well-known …
A systematic literature review on combining ontology with Bayesian network to support logical and probabilistic reasoning
Reasoning in ontology is currently limited to logical reasoning. It is because ontology does
not have a standard for probabilistic reasoning. Various approaches have been made by …
not have a standard for probabilistic reasoning. Various approaches have been made by …
Decision-Support for Rheumatoid Arthritis Using Bayesian Networks: Diagnosis, Management, and Personalised Care
A Fahmi - 2021 - qmro.qmul.ac.uk
Bayesian networks (BNs) have been widely proposed for medical decision support. One
advantage of a BN is reasoning under uncertainty, which is pervasive in medicine. Another …
advantage of a BN is reasoning under uncertainty, which is pervasive in medicine. Another …
A novel approach to power transformer fault diagnosis based on ontology and Bayesian network
This paper proposes an application framework to reinforce the existing process for ontology-
based transformer fault diagnosis with formal probabilistic semantics using the Bayesian …
based transformer fault diagnosis with formal probabilistic semantics using the Bayesian …