Language: English
Published by Rotovision, Mies, Geneva, 1987
ISBN 10: 288046062X ISBN 13: 9782880460624
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Broschiert. Condition: Gut. 206 S. : 1 Ill. Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 335.
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Condition: Très bon. Learning and Geometry: Computational Approaches | Kueker, Smith | Birhaüser, 1996. In-8° cartonné, 210 pages. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet ouvrage. [Ba 46+] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |.
Softcover. Condition: Sehr gut. Bln., Springer 1975. gr.8°. 1 portrait. 206 p. Pbck. Lecture Notes in Mathematics, 492.- With contributions by D.W. Kueker, J. Green, E. Cunnigham, J. Gregory.- Name verso frontcover.
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Taschenbuch. Condition: Neu. Learning and Geometry: Computational Approaches | David Kueker (u. a.) | Taschenbuch | Progress in Computer Science and Applied Logic | xiv | Englisch | 2011 | Birkhäuser | EAN 9781461286462 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of computational learning theory arose out of the desire to for mally understand the process of learning. As potential applications to artificial intelligence became apparent, the new field grew rapidly. The learning of geo metric objects became a natural area of study. The possibility of using learning techniques to compensate for unsolvability provided an attraction for individ uals with an immediate need to solve such difficult problems. Researchers at the Center for Night Vision were interested in solving the problem of interpreting data produced by a variety of sensors. Current vision techniques, which have a strong geometric component, can be used to extract features. However, these techniques fall short of useful recognition of the sensed objects. One potential solution is to incorporate learning techniques into the geometric manipulation of sensor data. As a first step toward realizing such a solution, the Systems Research Center at the University of Maryland, in conjunction with the Center for Night Vision, hosted a Workshop on Learning and Geometry in January of 1991. Scholars in both fields came together to learn about each others' field and to look for common ground, with the ultimate goal of providing a new model of learning from geometrical examples that would be useful in computer vision. The papers in the volume are a partial record of that meeting.
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Language: English
Published by CRC Press 2017-11-06, 2017
ISBN 10: 1138466891 ISBN 13: 9781138466890
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Add to basketGebunden. Condition: New. David Kuekker is a professor of mathematics at the University of Maryland, College Park.Mathematical Logic and Theoretical Computer Science covers various topics ranging from recursion theory to Zariski topoi. Leading international authorities discus.
Language: English
Published by Taylor & Francis Group, 1986
ISBN 10: 0824777468 ISBN 13: 9780824777463
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Language: English
Published by Taylor & Francis Group, 1986
ISBN 10: 0824777468 ISBN 13: 9780824777463
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