Zobrazeno 1 - 10
of 16
pro vyhledávání: '"O'Dowd, Ryan"'
Autor:
Mhaskar, H. N., O'Dowd, Ryan
Function approximation based on data drawn randomly from an unknown distribution is an important problem in machine learning. The manifold hypothesis assumes that the data is sampled from an unknown submanifold of a high dimensional Euclidean space.
Externí odkaz:
http://arxiv.org/abs/2402.12687
Autor:
Mhaskar, H. N., O'Dowd, Ryan
A fundamental problem in manifold learning is to approximate a functional relationship in a data chosen randomly from a probability distribution supported on a low dimensional sub-manifold of a high dimensional ambient Euclidean space. The manifold i
Externí odkaz:
http://arxiv.org/abs/2302.00160
Autor:
O'Dowd, Ryan
Zugl.: Liverpool, University of Liverpool, Diss., 2005
Externí odkaz:
http://d-nb.info/989317161/04
Autor:
O'DOWD, RYAN P.
Publikováno v:
The Catholic Biblical Quarterly, 2018 Oct 01. 80(4), 619-635.
Externí odkaz:
https://www.jstor.org/stable/45456197
Autor:
O'Dowd, Ryan P.
Publikováno v:
The Catholic Biblical Quarterly; March 2019, Vol. 80 Issue: 4 p619-635, 17p
Autor:
O'Dowd, Ryan P.
Publikováno v:
Review of Biblical Literature. 2017, Vol. 19, p214-217. 4p.