Machine learning von mitchell tom (45 Ergebnisse)

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 1986. Tome 2. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1986. Volume 2. Ammareal gives back up to 15% of this item's net price to charity organizations.…

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Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

24 x 15,5 cm. Zustand: Gut. 1. Auflage. X, 1 Blatt, 738 Seiten Innen sauberer, guter Zustand. Hardcover, Pappeinband, mit den üblichen Bibliotheks-Markierungen, Stempeln und Einträgen, innen wie außen, siehe Bilder. Ecken und Kanten etwas berieben und bestoßen. Oberes Kapital bestoßen. - An Artificial Intelligence Approach, Volume II. B07-02-06Y Sprache: Englisch Gewicht in Gramm: 1170.…

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Broschiert. Zustand: Gut. International Edition. 414 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 550 International Edition.…

Pappband. 1983. IX, 572 S. Opp. Buch.

**Pp. Zustand: Gut. 2. Aufl. 738 Seiten , 1170 g - gutes Exemplar, Einband etwas angestoßen, innen sehr gut (Vorsätze unregelmäßig u. leicht gedunkelt, unkenntlich gemachter Namensstempel (siehe auch mein Foto) [sw.] --- Good condition with normal signs of use gra Sprache: Englisch Gewicht in Gramm: 1170. …

hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

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Paperback. Zustand: Brand New. 1st edition. 572 pages. 9.25x6.00x1.32 inches. In Stock.

paperback. Zustand: Gut. 414 Seiten; 9781259096952.3 Gewicht in Gramm: 500.

Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

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Zustand: New. In English.

Zustand: New. In English.

Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).…