找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Belief Functions: Theory and Applications; Proceedings of the 2 Thierry Denoeux,Marie-Hélène Masson Conference proceedings 2012 Springer-Ve

[復(fù)制鏈接]
查看: 11233|回復(fù): 61
樓主
發(fā)表于 2025-3-21 17:05:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Belief Functions: Theory and Applications
期刊簡稱Proceedings of the 2
影響因子2023Thierry Denoeux,Marie-Hélène Masson
視頻videohttp://file.papertrans.cn/184/183299/183299.mp4
發(fā)行地址Latest research on theory and applications Belief functions.Results of the 2nd International Conference on Belief Functions, Compiègne, France 9-11 May 2012.Written by leading experts in the field
學(xué)科分類Advances in Intelligent and Soft Computing
圖書封面Titlebook: Belief Functions: Theory and Applications; Proceedings of the 2 Thierry Denoeux,Marie-Hélène Masson Conference proceedings 2012 Springer-Ve
影響因子.The theory of belief functions, also known as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories..?.This volume contains the proceedings of the 2.nd. International Conference on Belief Functions that was held in Compiègne, France on 9-11 May 2012. It gathers 51 contributions describing recent developments both on theoretical issues (including approximation methods, combination rules, continuous belief functions, graphical models and independence concepts) and applications in various areas including classification, image processing, statistics and intelligent vehicles..?.
Pindex Conference proceedings 2012
The information of publication is updating

書目名稱Belief Functions: Theory and Applications影響因子(影響力)




書目名稱Belief Functions: Theory and Applications影響因子(影響力)學(xué)科排名




書目名稱Belief Functions: Theory and Applications網(wǎng)絡(luò)公開度




書目名稱Belief Functions: Theory and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Belief Functions: Theory and Applications被引頻次




書目名稱Belief Functions: Theory and Applications被引頻次學(xué)科排名




書目名稱Belief Functions: Theory and Applications年度引用




書目名稱Belief Functions: Theory and Applications年度引用學(xué)科排名




書目名稱Belief Functions: Theory and Applications讀者反饋




書目名稱Belief Functions: Theory and Applications讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:29:23 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 01:10:25 | 只看該作者
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%.
地板
發(fā)表于 2025-3-22 05:12:32 | 只看該作者
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.
5#
發(fā)表于 2025-3-22 10:11:22 | 只看該作者
6#
發(fā)表于 2025-3-22 13:25:54 | 只看該作者
7#
發(fā)表于 2025-3-22 17:27:45 | 只看該作者
8#
發(fā)表于 2025-3-22 21:41:47 | 只看該作者
9#
發(fā)表于 2025-3-23 02:51:45 | 只看該作者
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%.
10#
發(fā)表于 2025-3-23 08:45:20 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 15:45
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
山阳县| 徐州市| 深圳市| 开远市| 札达县| 手机| 巴彦淖尔市| 汤阴县| 突泉县| 浪卡子县| 岗巴县| 明溪县| 镇坪县| 保德县| 宁阳县| 遂溪县| 青河县| 商丘市| 武汉市| 永济市| 观塘区| 漳州市| 贡觉县| 依安县| 开封县| 深州市| 庐江县| 黔西县| 达尔| 西丰县| 咸丰县| 呼图壁县| 永德县| 佛教| 萝北县| 炎陵县| 穆棱市| 博罗县| 洛隆县| 潞城市| 桦川县|