Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Tyler Reigeluth"'
Autor:
Jérémy Grosman, Tyler Reigeluth
Publikováno v:
Big Data & Society, Vol 6 (2019)
This contribution aims at proposing a framework for articulating different kinds of “normativities” that are and can be attributed to “algorithmic systems.” The technical normativity manifests itself through the lineage of technical objects.
Externí odkaz:
https://doaj.org/article/8e8d8d5b53c145228efc4ae43dfbc120
Autor:
Tyler Reigeluth
Publikováno v:
Genealogy+Critique, Vol 3, Iss 1 (2017)
This paper aims to give a renewed perspective on the normative stakes involved in the algorithmic recommendation of cultural content. Two prevalent framings of technological normativity and transparency need to be overcome. First, algorithmic design
Externí odkaz:
https://doaj.org/article/e99d3e8b57424e25bba1cd129763f006
Autor:
Tyler Reigeluth
Publikováno v:
Quaderni. :35-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::167e44f8598617552bef91fc533a2119
https://doi.org/10.4000/quaderni.2216
https://doi.org/10.4000/quaderni.2216
Autor:
Tyler Reigeluth, Michael Castelle
Publikováno v:
The Cultural Life of Machine Learning ISBN: 9783030562854
The Cultural Life of Machine Learning
The Cultural Life of Machine Learning, Springer International Publishing, pp.79-115, 2021, 978-3-030-56286-1. ⟨10.1007/978-3-030-56286-1_3⟩
The Cultural Life of Machine Learning
The Cultural Life of Machine Learning, Springer International Publishing, pp.79-115, 2021, 978-3-030-56286-1. ⟨10.1007/978-3-030-56286-1_3⟩
While theories of human learning have proliferated in the last century, machine learning is a rather less reflexive enterprise. What conception of learning do the techniques of machine learning—especially in its recent connectionist forms—imply o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe90b3d0791894b2080b078eee83b85
https://doi.org/10.1007/978-3-030-56286-1_3
https://doi.org/10.1007/978-3-030-56286-1_3
Autor:
Tyler Reigeluth
Publikováno v:
De la ville intelligente à la ville intelligible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376bfda02c1f4f7e71791ea19a78530e
https://doi.org/10.2307/j.ctvt1sh23.8
https://doi.org/10.2307/j.ctvt1sh23.8
L'espace urbain a toujours été synonyme de densité, de vitesse et de foisonnement. Toutefois, le phénomène d'urbanisation qui s'intensifie depuis la révolution industrielle s'étend aujourd'hui à une échelle inédite. Alors qu'elle semble se
Autor:
Tyler Reigeluth
Publikováno v:
Réseaux, 36 (211
A l’heure du machine learning les algorithmes sont de plus en plus observes et analyses en termes comportementaux. Plus encore, l’apprentissage algorithmique est generalement presente comme l’automatisation du caractere predictif de nos comport
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a03943f7cc6cf20e238541bdab83dd
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282049
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/282049
Autor:
Tyler Reigeluth
L’article cherche a problematiser l’articulation du travail, de l’alienation et de la culture technique dans la philosophie de Gilbert Simondon et ce a partir de l’enjeu contemporain du machine learning et a travers une confrontation avec Mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2efb51caf0e404e7e0c375bd79a01af
http://journals.openedition.org/grm/998
http://journals.openedition.org/grm/998
Autor:
Tyler Reigeluth
Publikováno v:
Surveillance & Society. 12:243-254
As an alternative to the seemingly natural objectivity and self-evidence of “data,” this paper builds on recent francophone literature by developing a critical conceptualization of “digital traces.” Underlining the materiality and discursiven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c0364beef6df80ad58b2bcf3dfbe1c7
https://doi.org/10.24908/ss.v12i2.4741
https://doi.org/10.24908/ss.v12i2.4741
Autor:
Tyler Reigeluth
Publikováno v:
L'Homme-trace ISBN: 9782271083241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0bc1dde3105a9dd94d223db708e5fa7
https://doi.org/10.4000/books.editionscnrs.25582
https://doi.org/10.4000/books.editionscnrs.25582