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Linear belief function

Linear Belief Function is an extension of the Dempster-Shafer theory of belief functions to the case when variables of interest are continuous… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
This paper studies the application of linear belief functions to both classic and Bayesian statistic data analysis. In particular… 
2016
2016
Linear models, obtained from independent sources, may be combined via Dempster’s rule as linear belief functions. When they are… 
2015
2015
In this study, we analyze the international portfolio with respect to risk and return aspects. We applied entropy methods to find… 
2012
2012
In roadmap-based methods, such as the Probabilistic Roadmap Method (PRM) in deterministic environments or the Feedback-based… 
2011
2011
Traditional techniques for navigation such as the Kalman filter cannot capture the nonlinear and non-Gaussian models appearing in… 
2009
2009
In this paper, we study the problem of multi-user channel selection in multi-channel wireless networks. Specifically, we study… 
2009
2009
While based on the Situation Calculus, current implementations of the agent control language Golog typically avoid offering full… 
2005
2005
Our research is focussed on the creation of human-like Artificial Intelligence (AI) based on the Belief Desire Intention (BDI… 
Review
2005
Review
2005
  • M. Friesel
  • 2005
  • Corpus ID: 144512930
In this paper it is illustrated how Bayes equations and frequency data may use as a measure of performance for belief fusion…