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Ditemukan 4 dari pencarian Anda melalui kata kunci: subject="Machine learning"
cover
Automated machine learning :methods, systems, challenges
Komentar Bagikan
Hutter, FrankKotthoff, Lars

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML …

Edisi
-
ISBN/ISSN
9783030053185
Deskripsi Fisik
-
Judul Seri
-
No. Panggil
006.31 HUT a
cover
On the path to AI :law's prophecies and the conceptual foundations of the mac…
Komentar Bagikan
Grant, Thomas D.Wischik, Damon J.

This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of …

Edisi
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ISBN/ISSN
9783030435820
Deskripsi Fisik
xxii, 147p. : ill.
Judul Seri
-
No. Panggil
006.3 GRA o
cover
Machine learning for cyber physical systems
Komentar Bagikan
Beyerer, JürgenKühnert, ChristianNiggemann, Oliver

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze…

Edisi
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ISBN/ISSN
9783662584859
Deskripsi Fisik
VII, 136 p.
Judul Seri
-
No. Panggil
006.31 MAN m
cover
Metalearning :applications to automated machine learning and data mining
Komentar Bagikan
Brazdil, Pavelvan Rijn, Jan N.Soares, CarlosVanschoren, Joaquin

This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield …

Edisi
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ISBN/ISSN
9783030670245
Deskripsi Fisik
xii, 346p. : ill,
Judul Seri
-
No. Panggil
006.31 MET m