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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 Collective memory shapes the organization of individual memories in the medial prefrontal cortex Gagnepain, Pierre; Vallée, Thomas; Heiden, Serge... In: EISSN: 2397-3374 ; Nature Human Behaviour ; https://halshs.archives-ouvertes.fr/halshs-02416130 ; Nature Human Behaviour, Nature Research 2019, ⟨10.1038/s41562-019-0779-z⟩ (2019) BASE Show details 2 Effective keyword search for low-resourced conversational speech Lileikyte, Rasa; Fraga-Silva, Thiago; Lamel, Lori... In: icassp 2017 ; https://hal.archives-ouvertes.fr/hal-01744176 ; icassp 2017, IEEE, Mar 2017, La Nouvelle Orléans, United States (2017) BASE Show details 3 Language Recognition for Dialects and Closely Related Languages Gelly, Grégory; Gauvain, Jean-Luc; Lamel, Lori... In: Odyssey 2016 ; https://hal.archives-ouvertes.fr/hal-01744188 ; Odyssey 2016, Jun 2016, Bilbao, Spain (2016) BASE Show details 4 Boosting bonsai trees for efficient features combination : application to speaker role identification Laurent, Antoine; Camelin, Nathalie; Raymond, Christian In: Interspeech ; https://hal.inria.fr/hal-01025171 ; Interspeech, Sep 2014, Singapour, Singapore (2014) Abstract: International audience ; In this article, we tackle the problem of speaker role detection from broadcast news shows. In the literature, many proposed solutions are based on the combination of various features coming from acoustic, lexical and semantic information with a machine learning algorithm. Many previous studies mention the use of boosting over decision stumps to combine efficiently these features. In this work, we propose a modification of this state-of-the-art machine learning algorithm changing the weak learner (decision stumps) by small decision trees, denoted bonsai trees. Experiments show that using bonsai trees as weak learners for the boosting algorithm largely improves both system error rate and learning time. Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing URL: https://hal.inria.fr/hal-01025171/document https://hal.inria.fr/hal-01025171 https://hal.inria.fr/hal-01025171/file/interspeech2014.pdf BASE Hide details

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