Results 71 to 80 of about 80,347 (250)
Dempster-Shafer evidence theory is an important methodology for multi-source information fusion depending on its advantages in dealing with uncertain information. The classical fusion rule proposed by Dempster, however, fails to handle evidence with high
Jun Xia +4 more
doaj +1 more source
Multisensor data fusion is extensively used to merge data from heterogeneous sensors in a smart environment. However, sensors provide noisy and uncertain information which is a big challenge for researchers.
Ihsan Ullah, Joosang Youn, Youn-Hee Han
doaj +1 more source
Counting solutions from finite samplings
We formulate the solution counting problem within the framework of inverse Ising problem and use fast belief propagation equations to estimate the entropy whose value provides an estimate on the true one.
A. Favier +5 more
core +2 more sources
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
A Weighted Combination Method for Conflicting Evidence in Multi-Sensor Data Fusion
Dempster–Shafer evidence theory is widely applied in various fields related to information fusion. However, how to avoid the counter-intuitive results is an open issue when combining highly conflicting pieces of evidence.
Fuyuan Xiao, Bowen Qin
doaj +1 more source
Information Aggregation in Exponential Family Markets
We consider the design of prediction market mechanisms known as automated market makers. We show that we can design these mechanisms via the mold of \emph{exponential family distributions}, a popular and well-studied probability distribution template ...
Chen Yiling +8 more
core +1 more source
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch +13 more
wiley +1 more source
Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy
Deng entropy is a novel and efficient uncertainty measure to deal with imprecise phenomenon, which is an extension of Shannon entropy. In this paper, power law and dimension of the maximum value for belief distribution with the max Deng entropy are ...
Ruonan Zhu, Jiaqi Chen, Bingyi Kang
doaj +1 more source
The Law of Entropy Increase and the Meissner Effect
The law of entropy increase postulates the existence of irreversible processes in physics: the total entropy of an isolated system can increase, but cannot decrease.
Alexey Nikulov
doaj +1 more source
Generalized Ordered Propositions Fusion Based on Belief Entropy
A set of ordered propositions describe the different intensities of a characteristic of an object, the intensities increase or decrease gradually. A basic support function is a set of truth-values of ordered propositions, it includes the determinate part and indeterminate part.
Yangxue Li, Yong Deng
openaire +1 more source

