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Sprache: Englisch
Verlag: Gaia Books Ltd 25/08/2000, 2000
ISBN 10: 1856751465 ISBN 13: 9781856751469
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Biblioteca di Babele, Tarquinia, VT, Italien
Zustand: BUONO USATO. Varia ITALIANO IL LIBRO È USATO, PERTANTO POTREBBE PRESENTARE LIEVI DIFETTI/IMPERFEZIONI. LA FOTO CORRISPONDE AL LIBRO IN VENDITA. Il tè, proprio come il vino, ha un'infinità di sfumature di colore, di aroma e di sapore, che si imparano ad apprezzare conoscendolo. "La via del tè" è una guida all'arte della preparazione di questa bevanda salutare e piena di storia. Il testo è diviso in quattro sezioni: un'esplorazione nella storia del tè e nell'arte della degustazione; un'analisi dettagliata sui metodi di coltivazione, di raccolta, di lavorazione e la descrizione delle caratteristiche delle sei principali "famiglie" di tè; i segreti per preparare un tè impeccabile; un ricettario con i tè curativi per risolvere problemi specifici come sovrappeso, raffreddori, pressione alta e mancanza di energia. Traduttore: Bogliolo, S. Numero pagine 143. Il copyright dei dati è di Informazioni Editoriali I.E. Srl.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319977849 ISBN 13: 9783319977843
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of theJoint IAPR International Workshop onStructural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018.The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.
Taschenbuch. Zustand: Neu. Structural, Syntactic, and Statistical Pattern Recognition | Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings | Xiao Bai (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2018 | Springer | EAN 9783319977843 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Data Complexity in Pattern Recognition | Mitra Basu (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Springer | EAN 9781849965576 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Nova Science Publishers Inc, 2011
ISBN 10: 1614705577 ISBN 13: 9781614705574
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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In den WarenkorbZustand: New. Shows how to appreciate the presence and nature of patterns in specific problemsHelps the reader set proper expectations for classification performanceOffers guidance on choosing the best pattern recognition classification tec.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability.This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:What is missing from current classification techniques When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.