Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Weichi Yao"'
Publikováno v:
Canadian Journal of Statistics. 50:533-548
Time-varying covariates are often available in survival studies and estimation of the hazard function needs to be updated as new information becomes available. In this paper, we investigate several different easy-to-implement ways that random forests
Autor:
Villar, Soledad1,2 SOLEDAD.VILLAR@JHU.EDU, Weichi Yao3 WEICHI.YAO@NYU.EDU, Hogg, David W.4,5,6 DAVID.HOGG@NYU.EDU, Blum-Smith, Ben1 BBLUMSM1@JHU.EDU, Dumitrascu, Bianca7 BMD39@CAM.AC.UK
Publikováno v:
Journal of Machine Learning Research. 2023, Vol. 24, p1-32. 32p.
Summary Interval-censored data analysis is important in biomedical statistics for any type of time-to-event response where the time of response is not known exactly, but rather only known to occur between two assessment times. Many clinical trials an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da88267d83ca9f08f6ee5b74aa5d349
http://arxiv.org/abs/1901.04599
http://arxiv.org/abs/1901.04599
This note explores the applicability of unsupervised machine learning techniques towards hard optimization problems on random inputs. In particular we consider Graph Neural Networks (GNNs) -- a class of neural networks designed to learn functions on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c45dbb634939baa9482c74def6a36f9
Autor:
Weichi Yao, Georges Goetz, E. J. Chichilnisky, Liam Paninski, JinHyung Lee, Gaute T. Einevoll, David E. Carlson, Hooshmand Shokri Razaghi, Eleanor Batty, Espen Hagen
Publikováno v:
NIPS
Scopus-Elsevier
Advances in Neural Information Processing Systems
Scopus-Elsevier
Advances in Neural Information Processing Systems
Spike sorting is a critical first step in extracting neural signals from large-scale electrophysiological data. This manuscript describes an efficient, reliable pipeline for spike sorting on dense multi-electrode arrays (MEAs), where neural signals a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b99413f3ea6616ea11e68d34ce2fe03
https://doi.org/10.1101/151928
https://doi.org/10.1101/151928
Publikováno v:
Proceedings of SPIE; 9/9/2019, Vol. 11138, p1-10, 10p