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Brossura. Condition: new. Milano, 2017; br., pp. 109, ill. b/n, tavv. b/n, cm 17x24.(Artisti). Raccolta di poesie e acquerelli monocromi di Massimo Ferri dedicati alla città di Mantova. Libro.
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Language: English
Published by Springer-Verlag New York Inc, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
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ISBN 10: 3319697749 ISBN 13: 9783319697741
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Published by Springer-Verlag New York Inc, 2012
ISBN 10: 3642302378 ISBN 13: 9783642302374
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Brossura. Condition: buono. senza sovraccoperta. B5 edizioni Mondadori Scuola collana La Lettura 1992, tiratura limitata, ns, copia n. 5117, pp.391, formato 20x13,5 brossura in cartoncino editoriale flessibile, figurato, lieve brunitura delle pagine in particolare ai bordi, presenza di fioriture alle prime ed ultime pagine, sigla di appartenenza a penna alla prima utile, copertina lievemente usurata per unghiature ai bordi e presenza di adesivo bianco al bordo inferiore del piatto posteriore, ultima pagina strappata (mancante).
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland Okt 2017, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
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Taschenbuch. Condition: Neu. Neuware -The BIRS Workshop ¿Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets¿ (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of ¿hot topics¿ toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain.The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch.
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Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642302378 ISBN 13: 9783642302374
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 4th International Workshop on Computational Topology in Image Context, CTIC 2012, held in Bertinoro, Italy, in May 2012.The 16 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They focus on the topology and computation in image context. The workshop is devoted to computational methods using topology for the analysis and comparison of images. The involved research fields comprise computational topology and geometry, discrete topology and geometry, geometrical modeling, algebraic topology for image applications, and any other field involving a geometric-topological approach to image processing.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 3319697749 ISBN 13: 9783319697741
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The BIRS Workshop 'Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets' (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of 'hot topics' toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.