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of 118
pro vyhledávání: '"Riveill, Michel"'
Large Language Models have undoubtedly revolutionized the Natural Language Processing field, the current trend being to promote one-model-for-all tasks (sentiment analysis, translation, etc.). However, the statistical mechanisms at work in the larger
Externí odkaz:
http://arxiv.org/abs/2408.13253
Anomaly detection or more generally outliers detection is one of the most popular and challenging subject in theoretical and applied machine learning. The main challenge is that in general we have access to very few labeled data or no labels at all.
Externí odkaz:
http://arxiv.org/abs/2305.18389
Medicare fraud results in considerable losses for governments and insurance companies and results in higher premiums from clients. Medicare fraud costs around 13 billion euros in Europe and between 21 billion and 71 billion US dollars per year in the
Externí odkaz:
http://arxiv.org/abs/2203.05842
In the classic machine learning framework, models are trained on historical data and used to predict future values. It is assumed that the data distribution does not change over time (stationarity). However, in real-world scenarios, the data generati
Externí odkaz:
http://arxiv.org/abs/2203.04769
Reproduction de : Thèse de doctorat : informatique : Grenoble, INPG : 1987.
Titre provenant de l'écran-titre. Bibliogr. p. 189-194.
Titre provenant de l'écran-titre. Bibliogr. p. 189-194.
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00010614
Publikováno v:
International Journal of Computer Science (IJCSI), Volume 8, Issue 4(1), JUL 2011, 1-15
Highly dynamic computing environments, like ubiquitous and pervasive computing environments, require frequent adaptation of applications. This has to be done in a timely fashion, and the adaptation process must be as fast as possible and mastered. Mo
Externí odkaz:
http://arxiv.org/abs/1111.1904
Publikováno v:
IJCSI International Journal of Computer Science Issues, Vol. 4, No. 1, 2009
Pervasive computing appears like a new computing era based on networks of objects and devices evolving in a real world, radically different from distributed computing, based on networks of computers and data storages. Contrary to most context-aware a
Externí odkaz:
http://arxiv.org/abs/1102.5193
Publikováno v:
IJCSI International Journal of Computer Science Issues, Vol. 4, No. 1, 2009
Highly dynamic computing environments, like ubiquitous and pervasive computing environments, require frequent adaptation of applications. Context is a key to adapt suiting user needs. On the other hand, standard access control trusts users once they
Externí odkaz:
http://arxiv.org/abs/1102.5194
Publikováno v:
DECOR04 (2004) 53-64
This paper proposes a software architecture for dynamical service adaptation. The services are constituted by reusable software components. The adaptation's goal is to optimize the service function of their execution context. For a first step, the co
Externí odkaz:
http://arxiv.org/abs/cs/0411056
Machine learning and artificial intelligence models are increasingly common in predictive maintenance due to their ability to automatically extract high-level features with less human intervention. These models have been shown to give good results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::52d4ddc0ddde876e47cedfa484133cd7
https://hal.science/hal-03967924/document
https://hal.science/hal-03967924/document