標(biāo)題: Titlebook: Belief Functions: Theory and Applications; Proceedings of the 2 Thierry Denoeux,Marie-Hélène Masson Conference proceedings 2012 Springer-Ve [打印本頁(yè)] 作者: 孵化 時(shí)間: 2025-3-21 17:05
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書(shū)目名稱(chēng)Belief Functions: Theory and Applications讀者反饋學(xué)科排名
作者: Abominate 時(shí)間: 2025-3-21 20:29
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.作者: Longitude 時(shí)間: 2025-3-22 01:10
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%.作者: patella 時(shí)間: 2025-3-22 05:12
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.作者: 鞏固 時(shí)間: 2025-3-22 10:11 作者: Prologue 時(shí)間: 2025-3-22 13:25 作者: Stagger 時(shí)間: 2025-3-22 17:27 作者: 法官 時(shí)間: 2025-3-22 21:41 作者: ETCH 時(shí)間: 2025-3-23 02:51
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%.作者: prodrome 時(shí)間: 2025-3-23 08:45 作者: 通知 時(shí)間: 2025-3-23 13:17 作者: Ejaculate 時(shí)間: 2025-3-23 15:04
https://doi.org/10.1007/978-3-030-98202-7his paper, we briefly review classical algorithms, explaining why their statistical properties are hard to characterize, and then provide simple procedures to perform efficient and controlled random generation.作者: judicial 時(shí)間: 2025-3-23 18:27 作者: cardiopulmonary 時(shí)間: 2025-3-24 01:01
A. H. Zijderveld,P. G. Stoutjesdijkered from sensor nodes with 4 signal modalities and for 4 classes of vehicles (pedestrian, bicycle, car, truck). Main results show the importance of the uncertainty technique used and the interest of the proposed pattern matching approach in terms of performance and expressiveness.作者: 最后一個(gè) 時(shí)間: 2025-3-24 03:45
An Evidential Pattern Matching Approach for Vehicle Identification,ered from sensor nodes with 4 signal modalities and for 4 classes of vehicles (pedestrian, bicycle, car, truck). Main results show the importance of the uncertainty technique used and the interest of the proposed pattern matching approach in terms of performance and expressiveness.作者: AVANT 時(shí)間: 2025-3-24 08:45 作者: 骨 時(shí)間: 2025-3-24 12:22
The Role of Starch in Bread Staling, the continuous case. In this paper, we compare results obtained by a Bayesian approach and a method based on continuous belief functions to characterize seabed sediments. The probability density functions of each feature of seabed sediments are unimodal and estimated from a Gaussian model and compared with an .-stable model.作者: 腐爛 時(shí)間: 2025-3-24 17:58 作者: ingenue 時(shí)間: 2025-3-24 22:51
https://doi.org/10.1007/978-94-009-4480-0hin Shafer’s formulation of the theory of evidence, while they are not consistent with the credal or probability-bound semantic of belief functions. We prove here, however, that these transforms can be given in this latter case an interesting rationale in terms of optimal strategies in a non-cooperative game.作者: COM 時(shí)間: 2025-3-25 02:31 作者: minaret 時(shí)間: 2025-3-25 05:20 作者: 格子架 時(shí)間: 2025-3-25 09:52
https://doi.org/10.1007/978-981-99-2489-9The first section revisits some well-known definitions with an algorithmic point of vue. The second section proposes a matrix way of building the least committed isopignistic, and extends it to some other bodies of evidence. The third section adapts the .-means algorithm for an unsupervized clustering of the focal elements of a given bba.作者: 捐助 時(shí)間: 2025-3-25 14:37 作者: 使長(zhǎng)胖 時(shí)間: 2025-3-25 16:56 作者: 考得 時(shí)間: 2025-3-25 23:54 作者: Entreaty 時(shí)間: 2025-3-26 03:59
Game-Theoretical Semantics of Epistemic Probability Transformations,hin Shafer’s formulation of the theory of evidence, while they are not consistent with the credal or probability-bound semantic of belief functions. We prove here, however, that these transforms can be given in this latter case an interesting rationale in terms of optimal strategies in a non-cooperative game.作者: Diskectomy 時(shí)間: 2025-3-26 06:26
Generalizations of the Relative Belief Transform,hin Shafer’s formulation of the theory of evidence. However, the relative belief transform only exists when some mass is assigned to singletons. We show here that relative belief is only a member of a class of “relative mass” mappings, which can be interpreted as lowcost proxies for both plausibility and pignistic transforms.作者: Genetics 時(shí)間: 2025-3-26 11:50 作者: cathartic 時(shí)間: 2025-3-26 15:54 作者: 啜泣 時(shí)間: 2025-3-26 20:25
About Conflict in the Theory of Belief Functions,. Some measures of conflict have been proposed, we recall some of them and we show some counter-intuitive examples with these measures. Therefore we define a conflict measure based on expected properties. This conflict measure is build from the distance-based conflict measure weighted by a degree of inclusion introduced in this paper.作者: LEVER 時(shí)間: 2025-3-26 22:28 作者: HUMID 時(shí)間: 2025-3-27 03:55
An Evidential Improvement for Gender Profiling,ld applications to determine the gender of people of interest. However, normal video algorithms for gender profiling (usually face profiling) have three drawbacks. First, the profiling result is always uncertain. Second, for a time-lasting gender profiling algorithm, the result is not stable. The de作者: cocoon 時(shí)間: 2025-3-27 05:38
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics, of belief functions, where uncertainty corresponds to probability masses which might refer to whole subsets of the possibility space, . semantics can be also considered. Accordingly, a belief function can be identified with the whole set of probability mass functions consistent with the beliefs ind作者: cruise 時(shí)間: 2025-3-27 10:38 作者: 過(guò)于平凡 時(shí)間: 2025-3-27 16:35
A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Patt provided that once the probability density functions are well estimated. Recently, the theory of belief functions has been more and more developed to the continuous case. In this paper, we compare results obtained by a Bayesian approach and a method based on continuous belief functions to character作者: 人充滿(mǎn)活力 時(shí)間: 2025-3-27 21:30
Prognostic by Classification of Predictions Combining Similarity-Based Estimation and Belief Functind Health Management (PHM). Practically, states can be either continuous (the value of a signal) or discrete (functioning modes). For each case, specific techniques exist. In this paper, we propose an approach called EVIPRO-KNN based on case-based reasoning and belief functions that jointly estimate作者: 善于騙人 時(shí)間: 2025-3-28 01:54
Adaptive Initialization of a EvKNN Classification Algorithm,ial KNN (EvKNN) has been developed in order to help the user, which proposes the “best” samples to label according to a strategy. However, at the beginning of this task, the classes are not clearly defined and are represented by a number of labeled samples smaller than the k required samples for EvK作者: habitat 時(shí)間: 2025-3-28 05:11
Classification Trees Based on Belief Functions,functions previously described for two-class problems only. We propose three possible extensions: combining multiple two-class trees together and directly extending the estimation of belief functions within the tree to the multi-class setting. We provide experiment results and compare them to usual 作者: PLUMP 時(shí)間: 2025-3-28 08:11 作者: glisten 時(shí)間: 2025-3-28 11:17
Continuous Belief Functions: Focal Intervals Properties,us very difficult to represent..In this paper, we propose a graphical representation of the cross product of two focal sets originating from univariate Gaussian pdfs. This representation allows to represent initial focal intervals as well as focal intervals resulting from a combination operation. We作者: 全部 時(shí)間: 2025-3-28 17:59 作者: Ccu106 時(shí)間: 2025-3-28 21:05 作者: 食物 時(shí)間: 2025-3-29 02:07
Consonant Approximations in the Belief Space, distances from the consonant complex in the space of all belief functions. Partial approximations are first sought in each simplicial component of the consonant complex, while global solutions are obtained from the set of partial ones. The .., .. and .. consonant approximations in the belief space 作者: Ancestor 時(shí)間: 2025-3-29 04:22 作者: 阻礙 時(shí)間: 2025-3-29 11:09 作者: Transfusion 時(shí)間: 2025-3-29 12:59
Revisiting the Notion of Conflicting Belief Functions,a central role. In this paper, we propose to revisit conflict from a different perspective. We do not make a priori assumption about dependencies and start from the definition of conflicting sets, studying its possible extensions to the framework of belief functions.作者: 衰老 時(shí)間: 2025-3-29 17:39
About Conflict in the Theory of Belief Functions,er, the mass appearing on the empty set during the conjunctive combination rule is generally considered as conflict, but that is not really a conflict. Some measures of conflict have been proposed, we recall some of them and we show some counter-intuitive examples with these measures. Therefore we d作者: 欄桿 時(shí)間: 2025-3-29 22:37
An Evidential Improvement for Gender Profiling,al approach that makes use of profiling results from multiple algorithms over a period of time. Experiments show that this approach does provide better results than single profiling results and classic fusion results.作者: Lipoprotein 時(shí)間: 2025-3-30 03:14 作者: Mucosa 時(shí)間: 2025-3-30 05:37 作者: OREX 時(shí)間: 2025-3-30 10:42 作者: 不知疲倦 時(shí)間: 2025-3-30 14:51
https://doi.org/10.1007/978-3-642-29461-7Belief Functions; Intelligent Computing作者: 大都市 時(shí)間: 2025-3-30 19:44
978-3-642-29460-0Springer-Verlag Berlin Heidelberg 2012作者: Arthropathy 時(shí)間: 2025-3-31 00:47 作者: 侵略者 時(shí)間: 2025-3-31 03:31 作者: BARB 時(shí)間: 2025-3-31 06:13
Jeffrey Henderson,Richard WhitleyA.EL, randomly breaks the initial set of labels into smaller sets and trains a single-label classifier in each of this subset. To classify an unseen instance, the predictions of all classifiers are combined using a voting process. In this paper, we adapt the RA.EL approach under the belief function 作者: 合同 時(shí)間: 2025-3-31 12:31
https://doi.org/10.1007/978-1-349-26520-6ld applications to determine the gender of people of interest. However, normal video algorithms for gender profiling (usually face profiling) have three drawbacks. First, the profiling result is always uncertain. Second, for a time-lasting gender profiling algorithm, the result is not stable. The de作者: 配置 時(shí)間: 2025-3-31 15:07
International Political Economy Series of belief functions, where uncertainty corresponds to probability masses which might refer to whole subsets of the possibility space, . semantics can be also considered. Accordingly, a belief function can be identified with the whole set of probability mass functions consistent with the beliefs ind作者: 惡名聲 時(shí)間: 2025-3-31 17:38
A. H. Zijderveld,P. G. Stoutjesdijkef decision space rather than directly in the feature space as traditionally done. The main goal of the paper is to compare performances obtained when using several distances between belief functions recently introduced by the authors. Belief functions are modeled using the outputs of a set of modal作者: 木質(zhì) 時(shí)間: 2025-3-31 23:19
The Role of Starch in Bread Staling, provided that once the probability density functions are well estimated. Recently, the theory of belief functions has been more and more developed to the continuous case. In this paper, we compare results obtained by a Bayesian approach and a method based on continuous belief functions to character作者: 憤世嫉俗者 時(shí)間: 2025-4-1 04:34 作者: Substance-Abuse 時(shí)間: 2025-4-1 08:06
N. Tonks,R. D. Gibson,T. S. Wilkinsonial KNN (EvKNN) has been developed in order to help the user, which proposes the “best” samples to label according to a strategy. However, at the beginning of this task, the classes are not clearly defined and are represented by a number of labeled samples smaller than the k required samples for EvK
