Please note that PUB no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

3 Publikationen

2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933893
L. Pfannschmidt, et al., “Feature Relevance Bounds for Ordinal Regression”, Proceedings of the 27th European Symposium on Artificial Neural Networks (ESANN 2019), M. Verleysen, ed., Louvain-la-Neuve: i6doc, 2019.
PUB | Download (ext.) | arXiv
 
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904469
B. Hosseini, et al., “Non-Negative Kernel Sparse Coding for the Analysis of Motion Data”, Artificial Neural Networks and Machine Learning – ICANN 2016, A. E.P. Villa, P. Masulli, and A. Javier Pons Rivero, eds., Lecture Notes in Computer Science, vol. 9887, Cham: Springer, 2016, pp.506-514.
PUB | PDF | DOI | Download (ext.) | arXiv
 
2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2678214
D. Hofmann, et al., “Learning interpretable kernelized prototype-based models”, Neurocomputing, vol. 141, 2014, pp. 84-96.
PUB | DOI | Download (ext.) | WoS
 

Filter und Suchbegriffe

keyword="Interpretable models"

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: ieee

Export / Einbettung