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Conference papers

GTM Mixture through time for sequential data

Rakia Jaziri 1 Faicel Chamroukhi 2 Mustapha Lebbah 1 younãšs Bennani 
1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
Abstract : no abstract
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Conference papers
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https://hal-amu.archives-ouvertes.fr/hal-01490164
Contributor : William Domingues Vinhas Connect in order to contact the contributor
Submitted on : Tuesday, March 14, 2017 - 10:25:05 PM
Last modification on : Tuesday, October 19, 2021 - 10:59:52 PM

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  • HAL Id : hal-01490164, version 1

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UNIV-PARIS13 | UNIV-TLN | CNRS | UNIV-AMU | LSIS | LIPN | USPC | GALILE | LIS-LAB | UNIV-HESAM | IBHGC | SORBONNE-PARIS-NORD | ARTS-ET-METIERS-SCIENCES-ET-TECHNOLOGIES

Citation

Rakia Jaziri, Faicel Chamroukhi, Mustapha Lebbah, younãšs Bennani. GTM Mixture through time for sequential data. In Proceedings of The International Joint Conference on Neural Networks (IJCNN) Vancouver, Canada, 2016, Vancouver, Unknown Region. ⟨hal-01490164⟩

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