Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Morrill, J. A."'
Publikováno v:
J. Geophys. Res. (Space Phys.) 120 (2015)
Total solar irradiance and UV spectral solar irradiance have been monitored since 1978 through a succession of space missions. This is accompanied by the development of models aimed at replicating solar irradiance by relating the variability to solar
Externí odkaz:
http://arxiv.org/abs/1507.01224
Autor:
Heavner, M. J., Morrill, J. S., Siefring, C., Sentman, D. D., Moudry, D. R., Wescott, E. M., Bucsela, E. J.
A near-ultraviolet (NUV) spectrograph (320-460 nm) was flown on the EXL98 aircraft sprite observation campaign during July 1998. In this wavelength range video rate (60 fields/sec) spectrographic observations found the NUV/blue emissions to be predom
Externí odkaz:
http://arxiv.org/abs/1002.3949
Akademický článek
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Neural controlled differential equations (Neural CDEs) are a continuous-time extension of recurrent neural networks (RNNs), achieving state-of-the-art (SOTA) performance at modelling functions of irregular time series. In order to interpret discrete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::f162dd1624bfb814e1bd1f2a52f95a29
https://ora.ox.ac.uk/objects/uuid:f7b00cea-1005-4537-bddd-55203a3b60b1
https://ora.ox.ac.uk/objects/uuid:f7b00cea-1005-4537-bddd-55203a3b60b1
Autor:
Morrill, J
The amalgamation of rough path theory and machine learning for sequential data has been a topic of increasing interest over the last ten or so years. The unity of these two subject areas is a natural one: rough path theory provides us with the langua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::c1d801b0abbff78a4b6f78a5f4f1cd7d
https://ora.ox.ac.uk/objects/uuid:44cb30f8-6dc8-4e0e-8347-14d40452c3e6
https://ora.ox.ac.uk/objects/uuid:44cb30f8-6dc8-4e0e-8347-14d40452c3e6
Neural controlled differential equations (Neural CDEs) are a continuous-time extension of recurrent neural networks (RNNs), achieving state-of-the-art (SOTA) performance at modelling functions of irregular time series. In order to interpret discrete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9416c6e50bda4bbdbddc126e9f66f5
http://arxiv.org/abs/2106.11028
http://arxiv.org/abs/2106.11028
Neural controlled differential equations (CDEs) are the continuous-time analogue of recurrent neural networks, as Neural ODEs are to residual networks, and offer a memory-efficient continuous-time way to model functions of potentially irregular time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::0759bca34b19d3560eef8f517aa2e2ec
https://ora.ox.ac.uk/objects/uuid:a3ccb03d-a21d-4202-b3e5-4d93416298da
https://ora.ox.ac.uk/objects/uuid:a3ccb03d-a21d-4202-b3e5-4d93416298da
Autor:
Morrill, J. S.
Publikováno v:
Past & Present, 1972 Aug 01(56), 49-74.
Externí odkaz:
https://www.jstor.org/stable/650472
Autor:
Morrill, J. L.
Publikováno v:
The Journal of Higher Education, 1940 Jan 01. 11(1), 1-7.
Externí odkaz:
https://www.jstor.org/stable/1973792
Autor:
Morrill, J. L.
Publikováno v:
The Annals of the American Academy of Political and Social Science, 1955 Sep 01. 301, 41-45.
Externí odkaz:
https://www.jstor.org/stable/1032526