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Belief Functions 2014: Oxford, UK
- Fabio Cuzzolin:
Belief Functions: Theory and Applications - Third International Conference, BELIEF 2014, Oxford, UK, September 26-28, 2014. Proceedings. Lecture Notes in Computer Science 8764, Springer 2014, ISBN 978-3-319-11190-2
Belief Combination
- John Klein, Mehena Loudahi, Jean-Marc Vannobel, Olivier Colot:
α-Junctions of Categorical Mass Functions. 1-10 - Frédéric Pichon, David Mercier, François Delmotte, Eric Lefevre:
Truthfulness in Contextual Information Correction. 11-20 - Andrey G. Bronevich, Igor N. Rozenberg:
The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecision Indices. 21-28 - Alexander Lepskiy
:
General Schemes of Combining Rules and the Quality Characteristics of Combining. 29-38 - Yanyan He, M. Yousuff Hussaini:
An Optimal Unified Combination Rule. 39-48
Machine Learning
- Philippe Xu, Franck Davoine, Thierry Denoeux
Evidential Logistic Regression for Binary SVM Classifier Calibration. 49-57 - Supanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta, Thierry Denoeux
The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of Loan. 58-67 - Wiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi:
Belief Hierarchical Clustering. 68-76 - Benjamin Quost:
Logistic Regression of Soft Labeled Instances via the Evidential EM Algorithm. 77-86 - Nicolas Sutton-Charani, Sébastien Destercke
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. 87-94 - Malcolm J. Beynon:
Reflections on DS/AHP: Lessons to Be Learnt. 95-104
Applications 1
- Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia
Evidential Database: A New Generalization of Databases? 105-114 - Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane:
Belief Approach for Social Networks. 115-123 - Mira Bou Farah, David Mercier, François Delmotte, Eric Lefèvre, Sylvain Lagrue:
Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETs. 124-133 - Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin:
Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People. 134-142 - Nopadon Kronprasert
Belief Reasoning Model for Mapping Public Participation in Transport Planning. 143-152
Theory 1
- Xiaolu Ke, Liyao Ma, Yong Wang:
Some Notes on Canonical Decomposition and Separability of a Belief Function. 153-160 - Liping Liu:
A Relational Representation of Belief Functions. 161-170 - Amel Ennaceur, Zied Elouedi, Eric Lefevre:
Modeling Qualitative Assessments under the Belief Function Framework. 171-179 - Jian-Bo Yang, Dong-Ling Xu:
A Study on Generalising Bayesian Inference to Evidential Reasoning. 180-189 - Johan Schubert:
Partial Ranking by Incomplete Pairwise Comparisons Using Preference Subsets. 190-198
Applications 2
- Wlodzimierz Filipowicz:
Mathematical Theory of Evidence in Navigation. 199-208 - Ahmad Osman, Valérie Kaftandjian, Ulf Hassler:
Application of Belief Functions Theory to Non Destructive Testing of Industrial Pieces. 209-218 - Kittawit Autchariyapanitkul, Somsak Chanaim
Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief Functions. 219-226 - Thomas Reineking, Kerstin Schill:
Evidential Object Recognition Based on Information Gain Maximization. 227-236 - Malcolm J. Beynon, Rhys Andrews:
Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS Analysis. 237-246 - Malcolm J. Beynon, Rhys Andrews:
Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social Capital. 247-255
Networks
- Radim Jirousek, Prakash P. Shenoy
Causal Compositional Models in Valuation-Based Systems. 256-264 - Faiza Titouna, Salem Benferhat:
Merging Possibilistic Networks through a Disjunctive Mode. 265-274 - Imen Hammami, Jean Dezert, Grégoire Mercier, Atef Hamouda:
On the Estimation of Mass Functions Using Self Organizing Maps. 275-283 - Jungyeul Park
Second-Order Belief Hidden Markov Models. 284-293 - Narjes Ben Hariz, Boutheina Ben Yaghlane:
Learning Parameters in Directed Evidential Networks with Conditional Belief Functions. 294-303
Theory 2
- Orakanya Kanjanatarakul, Philai Lertpongpiroon, Sombat Singkharat, Songsak Sriboonchitta:
Econometric Forecasting Using Linear Regression and Belief Functions. 304-312 - Janith N. Heendeni, Kamal Premaratne, Manohar N. Murthi, Matthias Scheutz
Modelling and Fusion of Imperfect Implication Rules. 313-320 - Milan Daniel
Conflict between Belief Functions: A New Measure Based on Their Non-conflicting Parts. 321-330 - Jirina Vejnarová:
On Marginal Problem in Evidence Theory. 331-338
Information Fusion
- Joachim Clemens, Thomas Reineking:
Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep Ice. 339-347 - Yongjun Xu, Lin Wu, Xianbin Wu, Zhiwei Xu:
Belief Fusion of Predictions of Industries in China's Stock Market. 348-355 - Faouzi Sebbak
An Evidential Fusion Rule for Ambient Intelligence for Activity Recognition. 356-364 - Yaxin Bi:
Evidential Fusion for Sentiment Polarity Classification. 365-373
Data Association
- Jean Dezert, Kaouthar Benameur:
On the Quality of Optimal Assignment for Data Association. 374-382 - Wafa Rekik
Data Association for Object Enumeration Using Belief Function Theory. 383-392 - Hasan Ihsan Turhan, Mübeccel Demirekler, Melih Gunay
A Novel Methodology for Target Classification Based on Dempster-Shafer Theory. 393-402 - Samir Hachour, François Delmotte, David Mercier:
A New Parameterless Credal Method to Track-to-Track Assignment Problem. 403-411
Geometry
- Thomas Burger
Geometric Interpretations of Conflict: A Viewpoint. 412-421 - Mehena Loudahi, John Klein, Jean-Marc Vannobel, Olivier Colot:
Fast Computation of L p Norm-Based Specialization Distances between Bodies of Evidence. 422-431 - Deqiang Han, Jean Dezert, Yi Yang:
New Distance Measures of Evidence Based on Belief Intervals. 432-441
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