Editore: Morgan & Claypool Publishers, 2016
ISBN 10: 1627054626 ISBN 13: 9781627054621
Lingua: Inglese
Da: Our Kind Of Books, Liphook, Regno Unito
EUR 6,12
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Aggiungi al carrelloSoft cover. Condizione: As New. This book has been in storage since publication and is unread. Hence the description as new .
Editore: Switzerland, Springer International Publishing., 2015
ISBN 10: 3319165976 ISBN 13: 9783319165974
Lingua: Inglese
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 16,00
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Aggiungi al carrelloAufl. 2015. 235 mm x 155 mm. XIX, 265 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Adaptation, Learning and Optimization 19.
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 31,26
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 168.
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Nuovo - A partire da EUR 38,20
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 55,92
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Aggiungi al carrelloCondizione: New. In.
Da: Reuseabook, Gloucester, GLOS, Regno Unito
EUR 65,40
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Aggiungi al carrelloHardcover. Condizione: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.
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Nuovo - A partire da EUR 88,20
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 117,01
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Editore: Springer International Publishing, 2016
ISBN 10: 3319362003 ISBN 13: 9783319362007
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
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Nuovo - A partire da EUR 121,98
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 119,65
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 132,71
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Nuovo - A partire da EUR 133,95
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 131,58
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Aggiungi al carrelloCondizione: New.
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Nuovo - A partire da EUR 149,16
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Editore: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383877 ISBN 13: 9783838383873
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 59,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Earthquake problems are globally considered to be a research topic of importance since many countries are subject to this natural disaster, particularly those at the ring of fire or the circum-Pacific seismic belt. In this book, the key factor for evaluating safety problem, i.e. peak ground acceleration, is estimated by using computational intelligence and microtremor measurement. The obtained results show that the estimation can be improved by incorporating global search capability of genetic algorithm in neural network computation. The contents of this book provide some basic concepts for general readers who are interested in both the seismic related problems and artificial intelligence. Also, the results presented provide valuable information for academic researchers, engineering designers in practice, government agencies, and those who need a reference to perform further work in the area investigated. Although the present scope of the study is limited to the island of Taiwan, due to the similarity of earthquake effects and recorded data, the seismic issue and the method illustrated in this book are applicable to other regions of interest around the world.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 141,76
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Aggiungi al carrelloCondizione: New.
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Nuovo - A partire da EUR 159,34
Usato - A partire da EUR 187,06
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 167,91
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Editore: Südwestdeutscher Verlag Für Hochschulschriften, 2013
ISBN 10: 3838136047 ISBN 13: 9783838136042
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 79,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Standard first-order Hidden Markov Models (HMMs) are very popular tools for the analysis of sequential data in applied sciences. HMMs are versatile and structurally simple models enabling probabilistic modeling based on a sound theoretical grounding. In contrast to the broad usage of first-order HMMs, applications of higher-order HMMs are very rare, but they have been proven to be powerful extensions of first-order HMMs including applications in speech recognition, image segmentation or computational biology. This book provides the first easily accessible and comprehensive extension of the algorithmic basics of first-order HMMs to higher-order HMMs coupled with practical applications in computational biology. The book starts with a theoretical part developing the algorithmic basics of higher-order HMMs and two novel model extensions (i) parsimonious higher-order HMMs and (ii) HMMs with scaled transition matrices. The second part considers applications of these models to the analysis of different DNA microarray data sets followed by a detailed discussion. The book addresses readers having basic knowledge on first-order HMMs interested to gain more insights on higher-order HMMs.