5 Publications

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[5]
2014 | Conference Paper | IST-REx-ID: 2051   OA
Marchand, M., Hongyu, S., Morvant, E., Rousu, J., & Shawe Taylor, J. (2014). Multilabel structured output learning with random spanning trees of max-margin Markov networks. Presented at the NIPS: Neural Information Processing Systems, Neural Information Processing Systems.
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[4]
2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant, E., Habrard, A., & Ayache, S. (2014). Majority vote of diverse classifiers for late fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8621, pp. 153–162). Joensuu, Finland: Springer. https://doi.org/10.1007/978-3-662-44415-3_16
View | DOI | Download (ext.) | arXiv
 
[3]
2014 | Conference Paper | IST-REx-ID: 2189   OA
Morvant, E. (2014). Adaptation de domaine de vote de majorité par auto-étiquetage non itératif (Vol. 1, pp. 49–58). Presented at the CAP: Conférence Francophone sur l’Apprentissage Automatique (Machine Learning French Conference), Saint-Etienne, France: Elsevier.
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[2]
2014 | Journal Article | IST-REx-ID: 2165   OA
Morvant, E. (2014). Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters, 51, 37–43. https://doi.org/10.1016/j.patrec.2014.08.013
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[1]
2014 | Journal Article | IST-REx-ID: 2180   OA
Bellet, A., Habrard, A., Morvant, E., & Sebban, M. (2014). Learning a priori constrained weighted majority votes. Machine Learning, 97(1–2), 129–154. https://doi.org/10.1007/s10994-014-5462-z
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5 Publications

Mark all

[5]
2014 | Conference Paper | IST-REx-ID: 2051   OA
Marchand, M., Hongyu, S., Morvant, E., Rousu, J., & Shawe Taylor, J. (2014). Multilabel structured output learning with random spanning trees of max-margin Markov networks. Presented at the NIPS: Neural Information Processing Systems, Neural Information Processing Systems.
View | Download (ext.)
 
[4]
2014 | Conference Paper | IST-REx-ID: 2057   OA
Morvant, E., Habrard, A., & Ayache, S. (2014). Majority vote of diverse classifiers for late fusion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8621, pp. 153–162). Joensuu, Finland: Springer. https://doi.org/10.1007/978-3-662-44415-3_16
View | DOI | Download (ext.) | arXiv
 
[3]
2014 | Conference Paper | IST-REx-ID: 2189   OA
Morvant, E. (2014). Adaptation de domaine de vote de majorité par auto-étiquetage non itératif (Vol. 1, pp. 49–58). Presented at the CAP: Conférence Francophone sur l’Apprentissage Automatique (Machine Learning French Conference), Saint-Etienne, France: Elsevier.
View | Download (ext.)
 
[2]
2014 | Journal Article | IST-REx-ID: 2165   OA
Morvant, E. (2014). Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling. Pattern Recognition Letters, 51, 37–43. https://doi.org/10.1016/j.patrec.2014.08.013
View | DOI | Download (ext.)
 
[1]
2014 | Journal Article | IST-REx-ID: 2180   OA
Bellet, A., Habrard, A., Morvant, E., & Sebban, M. (2014). Learning a priori constrained weighted majority votes. Machine Learning, 97(1–2), 129–154. https://doi.org/10.1007/s10994-014-5462-z
View | DOI | Download (ext.)
 

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