Results 31 to 40 of about 1,414,385 (278)
Forecasting Using Information and Entropy Based on Belief Functions
Complexity, 2020 This paper introduces an entropy-based belief function to the forecasting problem. While the likelihood-based belief function needs to know the distribution of the objective function for the prediction, the entropy-based belief function does not. This is
Woraphon Yamaka, Songsak Sriboonchitta
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Frontiers in Psychology, 2021 This study examined whether scores on indices related to subclinical delusion formation and thinking style varied as a function of level of self-professed paranormal ability.
Kenneth Graham Drinkwater +3 more
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A New Distance Measure of Belief Function in Evidence Theory
IEEE Access, 2019 How to measure the similarity or distance between the basic probability assignment (BPA) in evidence theory is an open issue. The existing evidence distance function has the shortcoming that the cardinality of each subset is not reasonably considered. To
Cuiping Cheng, Fuyuan Xiao
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Frontiers in Psychology, 2020 Although research has highlighted the importance of home experience and especially of play in early brain development, the value of this factor for executive function (EF) development has not received the attention it deserves. The purpose of the present
Biruk K. Metaferia +2 more
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Belief functions and default reasoning
Artificial Intelligence, 2000 Appears in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence (UAI1995)
Benferhat, Salem, Smets, P, Saffiotti, A
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Negation of Basic Probability Assignment: Trends of Dissimilarity and Dispersion
IEEE Access, 2019 In the field of knowledge representation, negation has been introduced so that practical issues can be modelled more effectively. The negation of probability was first formally determined by Zadeh, with its basic properties proposed by Yager.
Dawei Xie, Fuyuan Xiao
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Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference
IEEE Access, 2022 Meta-reinforcement learning (RL) addresses the problem of sample inefficiency in deep RL by using experience obtained in past tasks for solving a new task.
Takahisa Imagawa +2 more
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A Novel Cooperative Hunting Algorithm for Inhomogeneous Multiple Autonomous Underwater Vehicles
IEEE Access, 2018 Cooperative hunting of multi-autonomous underwater vehicle (AUV) is an important research topic. Current studies concentrate on AUVs with the same speed abilities and mostly do not consider their speed differences.
Mingzhi Chen, Daqi Zhu
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Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory
Sensors, 2016 Sensor data fusion plays an important role in fault diagnosis. Dempster–Shafer (D-R) evidence theory is widely used in fault diagnosis, since it is efficient to combine evidence from different sensors.
Kaijuan Yuan +4 more
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Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source