Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Teresa Yeo"'
Publikováno v:
Research and Practice in Technology Enhanced Learning, Vol 14, Iss 1, Pp 1-10 (2019)
Abstract In this paper, we present a response to the Interest-Driven Creator (IDC) theory from a European perspective. Specifically, we raise six questions intended to start a dialog with respect to IDC theory’s placement in existing learning theor
Externí odkaz:
https://doaj.org/article/945b438a340746f0bfdfe0002b9fe6ff
Autor:
Teresa Yeo, Kim Ping Wong
Publikováno v:
Biochemical pharmacology. 31(24)
A similar trend in the sulphate conjugation of isoprenaline and harmol was observed in the hepatic and three extrahepatic tissues, namely the kidney, small intestine and lung of some experimental animals. All the hepatic and some extrahepatic tissues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3124e3011e9495f77679b4c86b17b969
https://pubmed.ncbi.nlm.nih.gov/6818973
https://pubmed.ncbi.nlm.nih.gov/6818973
Autor:
Louis Faucon, Pierre Dillenbourg, Teresa Yeo, Volkan Cevher, Adish Singla, Arpit Merchant, Parameswaran Kamalaruban, Thibault Asselborn
Publikováno v:
University of Helsinki
AAAI
AAAI
We consider the machine teaching problem in a classroom-like setting wherein the teacher has to deliver the same examples to a diverse group of students. Their diversity stems from differences in their initial internal states as well as their learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48cb00460b558b54bf05a7c923179775
https://infoscience.epfl.ch/record/264903
https://infoscience.epfl.ch/record/264903
We present a method for making neural network predictions robust to shifts from the training data distribution. The proposed method is based on making predictions via a diverse set of cues (called 'middle domains') and ensembling them into one strong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::300205c473abd28d907e1913942848be
https://infoscience.epfl.ch/record/294856
https://infoscience.epfl.ch/record/294856