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Titlebook: Machine Learning: ECML-94; European Conference Francesco Bergadano,Luc Raedt Conference proceedings 1994 Springer-Verlag Berlin Heidelberg

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书目名称Machine Learning: ECML-94
副标题European Conference
编辑Francesco Bergadano,Luc Raedt
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Machine Learning: ECML-94; European Conference  Francesco Bergadano,Luc Raedt Conference proceedings 1994 Springer-Verlag Berlin Heidelberg
描述This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning. .Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. .This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. .The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.
出版日期Conference proceedings 1994
关键词Algorithmic Learning; Algorithmisches Lernen; Inductive Learning; Inductive Logic Programming; Induktive
版次1
doihttps://doi.org/10.1007/3-540-57868-4
isbn_softcover978-3-540-57868-0
isbn_ebook978-3-540-48365-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
The information of publication is updating

书目名称Machine Learning: ECML-94影响因子(影响力)




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书目名称Machine Learning: ECML-94读者反馈




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S. H. Nienhuys-Cheng,M. Polmand the correct submatrix..In this paper, we improve that result in several ways. First, we show that many of the results can be generalized to the case where . is any complex matrix of degree . with rank . - 1, thus they can be generalized to the case where . = . - .. and . is a simple eigenvalue of
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Michèle Sebagin two versions: one based on MATLAB, and one on Python, demonstrating the feasibilityand applications of both approaches. Most of the code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a computation
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Donate Malerba,Giovanni Semeraro,Floriana Espositoies based on linear algebra in mathematics, physics, engineering, economics, and social sciences..Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will n978-981-99-2953-5978-981-99-2951-1Series ISSN 1867-5506 Series E-ISSN 1867-5514
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Jonathan J. Oliver,David Handd applications of both approaches. Most of the MATLAB code is available interactively. The applications mainly involve sound and images. The book also includes a rich set of exercises, many of which are of a co978-3-030-01812-2Series ISSN 1867-5506 Series E-ISSN 1867-5514
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Jürgen Herrmann,Reiner Ackermann,Jörg Peters,Detlef Reipa
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