孵化
发表于 2025-3-21 17:05:46
书目名称Belief Functions: Theory and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0183299<br><br> <br><br>书目名称Belief Functions: Theory and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0183299<br><br> <br><br>
Abominate
发表于 2025-3-21 20:29:23
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics,uced by the masses. Following this interpretation, a novel, set-valued, dissimilarity measure with a clear behavioral interpretation can be defined. We describe the main features of this new measure and comment the relation with other measures proposed in the literature.
Longitude
发表于 2025-3-22 01:10:25
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functis the future values of the continuous signal and of the future discrete modes. A real datasets is used in order to assess the performance in estimating future break-down of a real system where the combination of both strategies provide the best prediction accuracies, up to 90%.
patella
发表于 2025-3-22 05:12:32
Adaptive Initialization of a EvKNN Classification Algorithm,NN. In this paper, we propose to take into account the available information on the classes using an adapted evidential model. The algorithm presented in this paper has been tested on the classification of an image collection.
巩固
发表于 2025-3-22 10:11:22
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Prologue
发表于 2025-3-22 13:25:54
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Stagger
发表于 2025-3-22 17:27:45
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法官
发表于 2025-3-22 21:41:47
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ETCH
发表于 2025-3-23 02:51:45
https://doi.org/10.1007/978-94-009-4480-0s the future values of the continuous signal and of the future discrete modes. A real datasets is used in order to assess the performance in estimating future break-down of a real system where the combination of both strategies provide the best prediction accuracies, up to 90%.
prodrome
发表于 2025-3-23 08:45:20
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