UMR CNRS 7253

Site Tools


en:publi:befief_conf

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revisionBoth sides next revision
en:publi:befief_conf [2019/07/07 18:01] tdenoeuxen:publi:befief_conf [2019/12/16 11:00] tdenoeux
Line 1: Line 1:
 ====== Belief Functions and Pattern Recognition ====== ====== Belief Functions and Pattern Recognition ======
 +  - Zheng Tong, Philippe Xu, and Thierry  Denoeux. ConvNet and Dempster-Shafer Theory for Object Recognition. In N. Ben Amor, B. Quost and M. Theobald (Eds), Scalable Uncertainty Management, Springer International Publishing, Cham, pages 368-381, 2019. {{ :en:publi:r3_zheng_sum2019_convnet_bf_classifier.pdf |pdf}}
   - T. Denoeux and P. Shenoy. An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:145–155, 2019. {{ :en:publi:denoeux19.pdf |pdf}}   - T. Denoeux and P. Shenoy. An Axiomatic Utility Theory for Dempster-Shafer Belief Functions. International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:145–155, 2019. {{ :en:publi:denoeux19.pdf |pdf}}
   - L. Ma and T. Denoeux. Making Set-valued Predictions in Evidential Classification: A Comparison of Different Approaches. International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:276–285, 2019. {{ :en:publi:ma19.pdf |pdf}}    - L. Ma and T. Denoeux. Making Set-valued Predictions in Evidential Classification: A Comparison of Different Approaches. International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2019), Ghent, Belgium, July 3-6, 2019. Proceedings of Machine Learning Research 103:276–285, 2019. {{ :en:publi:ma19.pdf |pdf}} 

User Tools