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Machine Learning and Knowledge Disco...
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Fromont, Elisa.
Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine Learning and Knowledge Discovery in Databases/ edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet.
其他題名:
European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /
其他作者:
Robardet, Céline.
面頁冊數:
XXVI, 732 p. 314 illus., 191 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computer Systems Organization and Communication Networks. -
電子資源:
https://doi.org/10.1007/978-3-030-46147-8
ISBN:
9783030461478
Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /
Machine Learning and Knowledge Discovery in Databases
European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /[electronic resource] :edited by Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardet. - 1st ed. 2020. - XXVI, 732 p. 314 illus., 191 illus. in color.online resource. - Lecture Notes in Artificial Intelligence ;11907. - Lecture Notes in Artificial Intelligence ;9285.
Supervised Learning -- Multi-Label Learning -- Large-Scale Learning -- Deep Learning -- Probabilistic Models -- Natural Language Processing.
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
ISBN: 9783030461478
Standard No.: 10.1007/978-3-030-46147-8doiSubjects--Topical Terms:
669309
Computer Systems Organization and Communication Networks.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II /
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