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@Article{gretton_et_al:DR:2017:7106, author = {Arthur Gretton and Philipp Hennig and Carl Edward Rasmussen and Bernhard Sch{\"o}lkopf}, title = {{New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)}}, pages = {142--167}, journal = {Dagstuhl Reports}, ISSN = {2192-5283}, year = {2017}, volume = {6}, number = {11}, editor = {Arthur Gretton and Philipp Hennig and Carl Edward Rasmussen and Bernhard Sch{\"o}lkopf}, publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik}, address = {Dagstuhl, Germany}, URL = {http://drops.dagstuhl.de/opus/volltexte/2017/7106}, URN = {urn:nbn:de:0030-drops-71064}, doi = {10.4230/DagRep.6.11.142}, annote = {Keywords: gaussian processes, kernel methods, machine learning, probabilistic numerics, probabilistic programming} }
Keywords: | gaussian processes, kernel methods, machine learning, probabilistic numerics, probabilistic programming | |
Seminar: | Dagstuhl Reports, Volume 6, Issue 11 | |
Issue date: | 2017 | |
Date of publication: | 12.04.2017 |