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发表于 2025-3-21 20:01:04
书目名称Belief Functions: Theory and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0192640<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=BK0192640<br><br> <br><br>书目名称Belief Functions: Theory and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0192640<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=BK0192640<br><br> <br><br>书目名称Belief Functions: Theory and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0192640<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=BK0192640<br><br> <br><br>书目名称Belief Functions: Theory and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0192640<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=BK0192640<br><br> <br><br>书目名称Belief Functions: Theory and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0192640<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=BK0192640<br><br> <br><br>
乏味
发表于 2025-3-21 22:31:38
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讨厌
发表于 2025-3-22 03:24:53
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ANA
发表于 2025-3-22 08:11:36
Conflict Management in a Distance to Prototype-Based Evidential Deep LearningThe experimental results are obtained using a lidar-camera cross-fusion architecture with evidential formulation based on Dempster-Shafer’s theory. The model is investigated on a road detection task and it uses the KITTI dataset.
affluent
发表于 2025-3-22 09:07:40
https://doi.org/10.1007/978-3-540-44760-3kes place currently. For voluminous datasets, users can also adjust the update frequency according to their specific requirements. Compared to state-of-the-art (SoTA) stream clustering algorithms, IEC demonstrates better clustering accuracy and comparable runtime across four benchmark datasets. IEC
Conquest
发表于 2025-3-22 13:40:58
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共同时代
发表于 2025-3-22 19:04:04
1 Deformation behaviour of steel,pproach presented in the work [.]. Hence, this enables us to detect hallucinations by evaluating the conflict among evidence. Preliminary experiments were conducted on a state-of-the-art LVLM, mPLUG-Owl2. Results show that our approach exhibits an enhancement over baseline methods, particularly in c
LATER
发表于 2025-3-22 21:48:00
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zonules
发表于 2025-3-23 02:41:46
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbersdel is fit by minimizing a generalized negative log-likelihood function that accounts for both normal and censored data. Comparative experiments on two real-world datasets demonstrate the very good performance of our model as compared to the state-of-the-art.
BAIL
发表于 2025-3-23 07:49:30
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