Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Gido van de Ven"'
Autor:
Jayanta Dey, Joshua Vogelstein, Hayden Helm, Will Levine, Ronak Mehta, Ali Geisa, Haoyin Xu, Gido van de Ven, Emily Chang, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher White, Carey Priebe
In biological learning, data are used to improve performance not only on the current task, but also on previously encountered, and as yet unencountered tasks. In contrast, classical machine learning starts from a blank slate, or tabula rasa, using da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0670045f314bfc28554e66b33d8199b7
https://doi.org/10.21203/rs.3.rs-1244827/v1
https://doi.org/10.21203/rs.3.rs-1244827/v1
Autor:
Jayanta Dey, Joshua Vogelstein, Hayden Helm, Will Levine, Ronak Mehta, Ali Geisa, Gido van de Ven, Emily Chang, Chenyu Gao, Weiwei Yang, Bryan Tower, Jonathan Larson, Christopher White, Carey Priebe
In biological learning, data are used to improve performance not only on the current task, but also on previously encountered and as yet unencountered tasks. In contrast, classical machine learning starts from a blank slate, or tabula rasa, using dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c354a6a2b1f75fd86f979a5e814789c
https://lirias.kuleuven.be/handle/20.500.12942/709920
https://lirias.kuleuven.be/handle/20.500.12942/709920