Results 31 to 40 of about 5,406,970 (171)
Interpretable Clustering Using Dempster-Shafer Theory [PDF]
Journal of Universal Computer ScienceThis study presents DSClustering, a novel algorithm that merges clustering validity with interpretability using the Dempster-Shafer theory. Traditional clustering methods like K-means, DBSCAN, and agglomerative clustering, while widely used for their ...
Aram Adamyan +4 more
doaj +3 more sources
Advanced Intelligent Systems, EarlyView.This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Multi-Hypotheses Tracking using the Dempster-Shafer Theory. Application to ambiguous road context. [PDF]
, 2016 This paper presents a Multi-Hypotheses Tracking (MHT) approach that allows solving ambiguities that arise with previous methods of associating targets and tracks within a highly volatile vehicular environment.
DEMMEL, Sébastien +3 more
core +1 more source
A perspective on automated rapid eye movement sleep assessment
Journal of Sleep Research, Volume 34, Issue 2, April 2025.Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Noûs, EarlyView.ABSTRACTProbabilism is the thesis that the degrees of belief of rational agents behave like Kolmogorovian probabilities. There are quite different lines of argument for probabilism in the literature, including Dutch book arguments, arguments based on representation theorems, and epistemic utility arguments. This paper focusses on the Dutch book line of
Nicholas J. J. Smith
wiley +1 more source
Algorithms for dempster-shafer theory
, 2000 The method of reasoning with uncertain information known as Dempster-Shafer theory arose from the reinterpretation and development of work of Arthur Dempster [Dempster, 67; 68] by Glenn Shafer in his book a mathematical theory of evidence [Shafer, 76 ...
Nic Wilson
core +1 more source
Place Classification using Dempster-Shafer Theory
Foundations of Computing and Decision Sciences, 2017 The paper presents a novel place labeling method. It is assumed that an indoor mobile robot equipped with a camera or RGB-D sensor ambulates an indoor environment. The places visited by the robot are classified based on objects which have been recognized.
Siemiątkowska Barbara +1 more
doaj +1 more source
Stock portfolio selection using Dempster–Shafer evidence theory
Journal of King Saud University: Computer and Information Sciences, 2018 Markowitz’s return–risk model for stock portfolio selection is based on the historical return data of assets. In addition to the effect of historical return, there are many other critical factors which directly or indirectly influence the stock market ...
Gour Sundar Mitra Thakur +2 more
doaj +1 more source
The Additive Logic of Epistemic Reasons: An Axiomatic Account
Theoria, EarlyView.ABSTRACT The article argues for a system of axioms that is meant to capture the logic of normative reasons for belief. The system concerns a primitive direct‐reason relation, a defined doxastic‐reason relation, and a primitive function for the revision of rational belief by reasons.
Hannes Leitgeb
wiley +1 more source
Journal of Applied Mathematics, 2014 With respect to decision making problems under uncertainty, a trapezoidal intuitionistic fuzzy multiattribute decision making method based on cumulative prospect theory and Dempster-Shafer theory is developed.
Xihua Li, Fuqiang Wang, Xiaohong Chen
doaj +1 more source