Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Apprentissage de représentations"'
Autor:
Fois, Adrien
Publikováno v:
Informatique [cs]. Université de Lorraine, 2022. Français. ⟨NNT : 2022LORR0299⟩
Neuromorphic computing is a rapidly growing field of computer science. It seeks to define models of computation inspired by the properties of the brain. Neuromorphic computing redefines the nature of the three key components of learning: 1) data, 2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::a5b90f94ff8c2fea85139638f875a19c
https://hal.univ-lorraine.fr/tel-04072647/file/DDOC_T_2022_0299_FOIS.pdf
https://hal.univ-lorraine.fr/tel-04072647/file/DDOC_T_2022_0299_FOIS.pdf
Autor:
Gourru, Antoine
The ``digital revolution'' led to an exponential growth of the quantity of long term stored information. Most of this information is textual (e.g., web pages, social media). Natural Language Processing (NLP) models, that allow to classify or to clust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::dda4ec4225220f47ab38bbc4e653747e
https://theses.hal.science/tel-03783746
https://theses.hal.science/tel-03783746
The use of program validation platforms is becoming more and more common for learning the basics of computer science. While the automation of validation tests frees up time for the teacher and facilitates the learner’s path, there are also certain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9ae72fd6a04bcd7d7597784937d7f377
https://hal.archives-ouvertes.fr/hal-03292743/document
https://hal.archives-ouvertes.fr/hal-03292743/document
Autor:
Strudel, Robin
Publikováno v:
Computer Science [cs]. INRIA Paris; Ecole Normale Superieure, 2023. English. ⟨NNT : ⟩
The goal of this thesis is to develop models, representations and learning algorithms for the automatic acquisition of visually-guided robotic skills from demonstrations and for object localization.We first introduce a method to acquire robotic skill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::7c509ab4b050286fdaf8e4d7ad5ab9e8
https://inria.hal.science/tel-04071261/file/phd_thesis.pdf
https://inria.hal.science/tel-04071261/file/phd_thesis.pdf
International audience; Learning representations that capture meaningful underlying information of data is a promising solution to reduce the reliance on labeled data for downstream applications. With the advent of the big remote sensing data era, se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2191::af527b807dacf4c32e4e2b612bd8ad20
https://hal.science/hal-03837736v2/file/preprint_HAL.pdf
https://hal.science/hal-03837736v2/file/preprint_HAL.pdf
Autor:
Salha-Galvan, Guillaume
Graph autoencoders (GAE) and variational graph autoencoders (VGAE) emerged as two powerful groups of unsupervised node embedding methods, with various applications to graph-based machine learning problems such as link prediction and community detecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98af421887e22d19bb632ae4e0e8951
Learning simple and explainable preference models able to approximate human preferences is one of the key challenges of multicriteria decision support. In this paper we consider the Choquet integral as a general preference aggregation function and we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::f4134c348437658151d57c85191c8414
https://hal.science/hal-03978343
https://hal.science/hal-03978343
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Bourigault, Simon
Dans ce manuscrit, nous étudions la diffusion d'information dans les réseaux sociaux en ligne. Des sites comme Facebook ou Twitter sont en effet devenus aujourd'hui des media d'information à part entière, sur lesquels les utilisateurs échangent
Externí odkaz:
http://www.theses.fr/2016PA066368/document
Autor:
Moradi Fard, Maziar
Publikováno v:
Data Structures and Algorithms [cs.DS]. Université Grenoble Alpes [2020-..], 2020. English. ⟨NNT : 2020GRALM053⟩
Due to the great impact of deep learning on variety fields of machine learning, recently their abilities to improve clustering approaches have been investi- gated. At first, deep learning approaches (mostly Autoencoders) have been used to reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::e04bdf6613d7721224efe0eb849b3376
https://tel.archives-ouvertes.fr/tel-03151389/document
https://tel.archives-ouvertes.fr/tel-03151389/document