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
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
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. Elsevier. https://doi.org/10.1016/j.patrec.2014.08.013
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[2]
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. Springer. https://doi.org/10.1007/s10994-014-5462-z
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[1]
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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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
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[3]
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. Elsevier. https://doi.org/10.1016/j.patrec.2014.08.013
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[2]
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. Springer. https://doi.org/10.1007/s10994-014-5462-z
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
[1]
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.
[Preprint] View | Download Preprint (ext.)
 

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