Time integration and reject options for probabilistic output of pairwise LVQ

Author:

Brinkrolf JohannesORCID,Hammer Barbara

Funder

DFG

University Bielefeld

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference52 articles.

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2. Athalye A, Engstrom L, Ilyas A, Kwok K (2017) Synthesizing robust adversarial examples. CoRR arXiv:abs/1707.07397

3. Bagnall A, Lines J, Bostrom A, Large J, Keogh EJ (2017) The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min Knowl Discov 31(3):606–660. https://doi.org/10.1007/s10618-016-0483-9

4. Biehl M, Bunte K, Schleif F, Schneider P, Villmann T (2012) Large margin linear discriminative visualization by matrix relevance learning. In: The 2012 international joint conference on neural networks (IJCNN), Brisbane, Australia, June 10–15, 2012. IEEE, pp 1–8. https://doi.org/10.1109/IJCNN.2012.6252627

5. Biehl M, Ghosh A, Hammer B (2007) Dynamics and generalization ability of LVQ algorithms. J Mach Learn Res 8:323–360

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