Evidential Logistic Regression for Binary SVM Classifier Calibration (Englisch)
- Neue Suche nach: Xu, P.
- Neue Suche nach: Davoine, F.
- Neue Suche nach: Denoeux, T.
- Neue Suche nach: Xu, P.
- Neue Suche nach: Davoine, F.
- Neue Suche nach: Denoeux, T.
- Neue Suche nach: Cuzzolin, Fabio
In:
Belief functions: theory and applications
8764
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49-57
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2014
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ISBN:
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ISSN:
- Aufsatz (Konferenz) / Print
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Titel:Evidential Logistic Regression for Binary SVM Classifier Calibration
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Beteiligte:
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Kongress:International conference; 3rd, Belief functions: theory and applications ; 2014 ; Oxford
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Erschienen in:Belief functions: theory and applications , 8764 ; 49-57LECTURE NOTES IN COMPUTER SCIENCE , 8764 ; 49-57
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Verlag:
- Neue Suche nach: Springer
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Erscheinungsort:Cham
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Erscheinungsdatum:01.01.2014
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Format / Umfang:9 pages
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Anmerkungen:Also known as BELIEF 2014. Includes bibliographical references and index. Also issued online.
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ISBN:
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ISSN:
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Inhaltsverzeichnis Konferenzband
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 1
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alpha -Junctions of Categorical Mass FunctionsKlein, J. / Loudahi, M. / Vannobel, J.-M. / Colot, O. et al. | 2014
- 11
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Truthfulness in Contextual Information CorrectionPichon, F. / Mercier, D. / Delmotte, F. / Lefevre, E. et al. | 2014
- 21
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The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecision IndicesBronevich, A.G. / Rozenberg, I.N. et al. | 2014
- 29
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General Schemes of Combining Rules and the Quality Characteristics of CombiningLepskiy, A. et al. | 2014
- 39
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An Optimal Unified Combination RuleHe, Y. / Hussaini, M.Y. et al. | 2014
- 49
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Evidential Logistic Regression for Binary SVM Classifier CalibrationXu, P. / Davoine, F. / Denoeux, T. et al. | 2014
- 58
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The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of LoanLeurcharusmee, S. / Jatukannyaprateep, P. / Sriboonchitta, S. / Denoeux, T. et al. | 2014
- 68
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Belief Hierarchical ClusteringMaalel, W. / Zhou, K. / Martin, A. / Elouedi, Z. et al. | 2014
- 77
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Logistic Regression of Soft Labeled Instances via the Evidential EM AlgorithmQuost, B. et al. | 2014
- 87
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Training and Evaluating Classifiers from Evidential Data: Application to E^2 M Decision Tree PruningSutton-Charani, N. / Destercke, S. / Denoeux, T. et al. | 2014
- 95
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Reflections on DS/AHP: Lessons to Be LearntBeynon, M.J. et al. | 2014
- 105
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Evidential Database: A New Generalization of Databases?Samet, A. / Lefevre, E. / Yahia, S.B. et al. | 2014
- 115
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Belief Approach for Social NetworksDhaou, S.B. / Kharoune, M. / Martin, A. / Yaghlane, B.B. et al. | 2014
- 124
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Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETsFarah, M.B. / Mercier, D. / Delmotte, F. / Lefevre, E. / Lagrue, S. et al. | 2014
- 134
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Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled PeopleDubois, J.-C. / Le Gall, Y. / Martin, A. et al. | 2014
- 143
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Belief Reasoning Model for Mapping Public Participation in Transport PlanningKronprasert, N. / Talvitie, A.P. et al. | 2014
- 153
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Some Notes on Canonical Decomposition and Separability of a Belief FunctionKe, X. / Ma, L. / Wang, Y. et al. | 2014
- 161
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A Relational Representation of Belief FunctionsLiu, L. et al. | 2014
- 171
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Modeling Qualitative Assessments under the Belief Function FrameworkEnnaceur, A. / Elouedi, Z. / Lefevre, E. et al. | 2014
- 180
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A Study on Generalising Bayesian Inference to Evidential ReasoningYang, J.-B. / Xu, D.-L. et al. | 2014
- 190
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Partial Ranking by Incomplete Pairwise Comparisons Using Preference SubsetsSchubert, J. et al. | 2014
- 199
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Mathematical Theory of Evidence in NavigationFilipowicz, W. et al. | 2014
- 209
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Application of Belief Functions Theory to Non Destructive Testing of Industrial PiecesOsman, A. / Kaftandjian, V. / Hassler, U. et al. | 2014
- 219
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Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief FunctionsAutchariyapanitkul, K. / Chanaim, S. / Sriboonchitta, S. / Denoeux, T. et al. | 2014
- 227
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Evidential Object Recognition Based on Information Gain MaximizationReineking, T. / Schill, K. et al. | 2014
- 237
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Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS AnalysisBeynon, M.J. / Andrews, R. et al. | 2014
- 247
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Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social CapitalBeynon, M.J. / Andrews, R. et al. | 2014
- 256
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Causal Compositional Models in Valuation-Based SystemsJirousek, R. / Shenoy, P.P. et al. | 2014
- 265
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Merging Possibilistic Networks through a Disjunctive ModeTitouna, F. / Benferhat, S. et al. | 2014
- 275
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On the Estimation of Mass Functions Using Self Organizing MapsHammami, I. / Dezert, J. / Mercier, G. / Hamouda, A. et al. | 2014
- 284
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Second-Order Belief Hidden Markov ModelsPark, J. / Chebbah, M. / Jendoubi, S. / Martin, A. et al. | 2014
- 294
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Learning Parameters in Directed Evidential Networks with Conditional Belief FunctionsHariz, N.B. / Yaghlane, B.B. et al. | 2014
- 304
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Econometric Forecasting Using Linear Regression and Belief FunctionsKanjanatarakul, O. / Lertpongpiroon, P. / Singkharat, S. / Sriboonchitta, S. et al. | 2014
- 313
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Modelling and Fusion of Imperfect Implication RulesHeendeni, J.N. / Premaratne, K. / Murthi, M.N. / Scheutz, M. et al. | 2014
- 321
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Conflict between Belief Functions: A New Measure Based on Their Non-conflicting PartsDaniel, M. et al. | 2014
- 331
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On Marginal Problem in Evidence TheoryVejnarova, J. et al. | 2014
- 339
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Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep IceClemens, J. / Reineking, T. et al. | 2014
- 348
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Belief Fusion of Predictions of Industries in China's Stock MarketXu, Y. / Wu, L. / Wu, X. / Xu, Z. et al. | 2014
- 356
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An Evidential Fusion Rule for Ambient Intelligence for Activity RecognitionSebbak, F. / Benhammadi, F. / Bouznad, S. / Chibani, A. / Amirat, Y. et al. | 2014
- 365
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Evidential Fusion for Sentiment Polarity ClassificationBi, Y. et al. | 2014
- 374
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On the Quality of Optimal Assignment for Data AssociationDezert, J. / Benameur, K. et al. | 2014
- 383
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Data Association for Object Enumeration Using Belief Function TheoryRekik, W. / Le Hegarat-Mascle, S. / Andre, C. / Kallel, A. / Reynaud, R. / Hamida, A.B. et al. | 2014
- 393
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A Novel Methodology for Target Classification Based on Dempster-Shafer TheoryTurhan, H.I. / Demirekler, M. / Gunay, M. et al. | 2014
- 403
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A New Parameterless Credal Method to Track-to-Track Assignment ProblemHachour, S. / Delmotte, F. / Mercier, D. et al. | 2014
- 412
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Geometric Interpretations of Conflict: A ViewpointBurger, T. et al. | 2014
- 422
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Fast Computation of L^p Norm-Based Specialization Distances between Bodies of EvidenceLoudahi, M. / Klein, J. / Vannobel, J.-M. / Colot, O. et al. | 2014
- 432
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New Distance Measures of Evidence Based on Belief IntervalsHan, D. / Dezert, J. / Yang, Y. et al. | 2014