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Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings

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發(fā)表于 2025-3-21 18:45:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning and Knowledge Discovery in Databases
副標(biāo)題European Conference,
編輯Toon Calders,Floriana Esposito,Rosa Meo
視頻videohttp://file.papertrans.cn/621/620528/620528.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Toon Calders,Floriana Esposito,Rosa Meo Conference proceedings
描述This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
出版日期Conference proceedings 2014
關(guān)鍵詞artificial intelligence; association rules; clustering; collaborative filtering; content ranking; data an
版次1
doihttps://doi.org/10.1007/978-3-662-44845-8
isbn_softcover978-3-662-44844-1
isbn_ebook978-3-662-44845-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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P. K. Srijith,Shirish Shevadezur Diagnostik und F?rderung, wie z.B.: Kann man ein Risiko für Lese-Rechtschreibschwierigkeiten bereits im Vorschulalter feststellen? Welche Verfahren werden für die Diagnostik der Lese-Rechtschreibst?rung ein978-3-642-41841-9978-3-642-41842-6
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Karthik Subbian,Chidananda Sridhar,Charu C. Aggarwal,Jaideep Srivastava
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Grigorios Tsoumakas,Eleftherios Spyromitros-Xioufis,Aikaterini Vrekou,Ioannis Vlahavas
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Kevin Vervier,Pierre Mahé,Alexandre D’Aspremont,Jean-Baptiste Veyrieras,Jean-Philippe Vert
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Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families used with generic algorithms for mixture models such as Bregman Soft Clustering, in which case lots of formulas from the canonical decomposition of the family need to be implemented. We thus illustrate our library by generating code which can be plugged into generic Expectation-Maximization schemes
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