Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Séries temporelles multivariées"'
Autor:
Dubois, Hippolyte
Publikováno v:
Apprentissage [cs.LG]. Nantes Université, 2023. Français. ⟨NNT : 2023NANU4010⟩
How humans move in a given environment is influenced by some of their demographics and clinical characteristics, such as their age or cognitive state. In this thesis, we tried to quantify the interaction between the navigator’s demographics and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::794dba0ce99e78dcb2fb8e9e8e88acf4
https://theses.hal.science/tel-04131533/file/DUBOIS.pdf
https://theses.hal.science/tel-04131533/file/DUBOIS.pdf
Autor:
Goffinet, Etienne
Publikováno v:
Artificial Intelligence [cs.AI]. Université Paris 13 Sorbonne Paris Nord, 2021. English
Advanced driver-assistance systems (ADAS) development remains one of the biggest challenges car manufacturers must tackle to provide safe driverless cars. The reliable validation of these systems requires assessing their reaction's quality and consis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::40a13e434fede492c6de12d90e5f43c7
https://hal.archives-ouvertes.fr/tel-03491716/document
https://hal.archives-ouvertes.fr/tel-03491716/document
Autor:
Akodad, Sara
Publikováno v:
Automatic Control Engineering. Université de Bordeaux, 2021. English. ⟨NNT : 2021BORD0310⟩
In view of the growing success of second-order statistics in classification problems, the work of this thesis has been oriented towards the development of learning methods in manifolds. Indeed, covariance matrices are symmetric positive definite matr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e1d6a03ca33a906efc28b1c66a726d6
https://tel.archives-ouvertes.fr/tel-03484011
https://tel.archives-ouvertes.fr/tel-03484011
Autor:
Audibert, Julien
Anomaly detection in multivariate time series is a major issue in many fields. The increasing complexity of systems and the explosion of the amount of data have made its automation indispensable. This thesis proposes an unsupervised method for anomal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::d7357aa53d5bac77479b4d4debd72dd8
https://theses.hal.science/tel-03681871
https://theses.hal.science/tel-03681871
Autor:
Soler, Thibault
This thesis tackles portfolio allocation problems in studying robust covariance matrix estimators and the dynamic dependence between financial assets to improve the overall performance of risk-based allocation strategies. In the first part of this th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::ac3993ffa30f66dcdccc21b9bcbfacf0
https://theses.hal.science/tel-03671127
https://theses.hal.science/tel-03671127
Autor:
Labiadh, Mouna
Predictive modeling of energy consumption in buildings is essential for intelligent control and efficient planning of energy networks. One way to perform predictive modeling is through machine learning approaches. Alongside their good performance, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::ba52985e127df930809ccfc2cc3452ea
https://theses.hal.science/tel-03662903
https://theses.hal.science/tel-03662903
Autor:
Pineau, Edouard
Publikováno v:
Machine Learning [cs.LG]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT037⟩
Machine learning (ML) algorithms are designed to learn models that have the ability to take decisions or make predictions from data, in a large panel of tasks. In general, the learned models are statistical approximations of the true/optimal unknown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::3621d5e2eddcf04fc928829633c764c6
https://tel.archives-ouvertes.fr/tel-03106258/file/98868_PINEAU_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-03106258/file/98868_PINEAU_2020_archivage.pdf
Autor:
Pineau, Edouard
Publikováno v:
Machine Learning [cs.LG]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT037⟩
Machine learning (ML) algorithms are designed to learn models that have the ability to take decisions or make predictions from data, in a large panel of tasks. In general, the learned models are statistical approximations of the true/optimal unknown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3621d5e2eddcf04fc928829633c764c6
https://tel.archives-ouvertes.fr/tel-03106258/file/98868_PINEAU_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-03106258/file/98868_PINEAU_2020_archivage.pdf
Autor:
Fauvel, Kevin
Publikováno v:
Machine Learning [cs.LG]. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S043⟩
Computer Science [cs]. Inria, 2020. English
Computer Science [cs]. Inria, 2020. English
The prevalent deployment and usage of sensors in a wide range of sectors generate an abundance of multivariate data which has proven to be instrumental for researches, businesses and policies. More specifically, multivariate data which integrates tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8da2fdf36b1b40eab890fa6606434dfa
https://theses.hal.science/tel-03140673/document
https://theses.hal.science/tel-03140673/document
Autor:
Beaufils, Bertrand
Publikováno v:
Geometric Topology [math.GT]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASS107⟩
This thesis focuses on the detection of specific movements using ActiMyo, a device developed by the company Sysnav. This system is composed by low-cost miniature inertial sensors that can be worn on the ankle and wrist. In particular, a supervised st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::e657dee2133769d08974337bbcfe58fc
https://tel.archives-ouvertes.fr/tel-03078816/file/86310_BEAUFILS_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-03078816/file/86310_BEAUFILS_2020_archivage.pdf