Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Lawrence, N. D."'
Publikováno v:
Proceedings: Mathematical, Physical and Engineering Sciences, 2017 Feb 01. 473(2198), 1-16.
Externí odkaz:
https://www.jstor.org/stable/44683127
Autor:
Mauricio A. Álvarez, Lawrence, N. D.
Publikováno v:
Scopus-Elsevier
Recently there has been an increasing interest in methods that deal with multiple outputs. This has been motivated partly by frameworks like multitask learning, multisensor networks or structured output data. From a Gaussian processes perspective, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80fbd014f6162716aaa0c7dc1f282ce
Autor:
Seiler, Christof, Rubinstein-Salzedo, Simon, Holmes, Susan, Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N. D., Weinberger, K. Q.
Publikováno v:
Advances in Neural Information Processing Systems 27, 586-594
STARTPAGE=586;ENDPAGE=594;TITLE=Advances in Neural Information Processing Systems 27
STARTPAGE=586;ENDPAGE=594;TITLE=Advances in Neural Information Processing Systems 27
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::c5559f0d2aa9ac2370d0c1edd29df897
https://cris.maastrichtuniversity.nl/en/publications/dcf90f30-b54a-4e53-bf23-fafae85e6dd2
https://cris.maastrichtuniversity.nl/en/publications/dcf90f30-b54a-4e53-bf23-fafae85e6dd2
Akademický článek
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Publikováno v:
AIChE Journal; Jul2004, Vol. 50 Issue 7, p1431-1437, 7p, 1 Diagram, 1 Chart, 3 Graphs
Akademický článek
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Publikováno v:
Scopus-Elsevier
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010
Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010
Latent force models encode the interaction between multiple related dynamical systems in the form of a kernel or covariance function. Each variable to be modeled is represented as the output of a differential equation and each differential equation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::925d22ea368d7a1346945246256e5f11
http://www.scopus.com/inward/record.url?eid=2-s2.0-84860631534&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84860631534&partnerID=MN8TOARS
Publikováno v:
Diakonikolas, I, Hardt, M & Schmidt, L 2015, Differentially Private Learning of Structured Discrete Distributions . in C Cortes, N D Lawrence, D D Lee, M Sugiyama & R Garnett (eds), Advances in Neural Information Processing Systems 28 . Advances in Neural Information Processing Systems, vol. 28, pp. 2566-2574, Twenty-ninth Conference on Neural Information Processing Systems, Montreal, Canada, 7/12/15 . < http://papers.nips.cc/paper/5713-differentially-private-learning-of-structured-discrete-distributions >
We investigate the problem of learning an unknown probability distribution over a discrete population from random samples. Our goal is to design efficient algorithms that simultaneously achieve low error in total variation norm while guaranteeing Dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::1ce2548a3b8f3183be77174f2860733e
https://www.pure.ed.ac.uk/ws/files/25120688/dp_learn_nips15.pdf
https://www.pure.ed.ac.uk/ws/files/25120688/dp_learn_nips15.pdf
Autor:
Peter Flach, Kull, M.
Publikováno v:
Flach, P & Kull, M 2015, Precision-Recall-Gain Curves : PR Analysis Done Right . in C Cortes, N D Lawrence, D D Lee, M Sugiyama & R Garnett (eds), Advances in Neural Information Processing Systems 28 . vol. 1, Massachusetts Institute of Technology (MIT) Press, pp. 838-846, NIPS'15:, 1/12/15 . < https://papers.nips.cc/paper/5867-precision-recall-gain-curves-pr-analysis-done-right >
Scopus-Elsevier
Scopus-Elsevier
Precision-Recall analysis abounds in applications of binary classification where true negatives do not add value and hence should not affect assessment of the classifier's performance. Perhaps inspired by the many advantages of receiver operating cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f0e7e4ec96c717eae12eca8ad57f152
https://research-information.bris.ac.uk/en/publications/254121da-3dac-4b70-8168-920ca7dccce3
https://research-information.bris.ac.uk/en/publications/254121da-3dac-4b70-8168-920ca7dccce3
Autor:
He, Bryan, Yue, Yisong
Interactive submodular set cover is an interactive variant of submodular set cover over a hypothesis class of submodular functions, where the goal is to satisfy all sufficiently plausible submodular functions to a target threshold using as few (cost-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________38::6fa2d00a7f9fec748d01efa860689069
https://resolver.caltech.edu/CaltechAUTHORS:20160401-171139889
https://resolver.caltech.edu/CaltechAUTHORS:20160401-171139889