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Aggiungi al carrelloCondizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,65
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Da: Chiron Media, Wallingford, Regno Unito
EUR 57,06
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Aggiungi al carrelloPF. Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2009
ISBN 10: 3642018041 ISBN 13: 9783642018046
Da: Revaluation Books, Exeter, Regno Unito
EUR 78,21
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 203 pages. 9.00x6.00x0.25 inches. In Stock.
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 2007. 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.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Similarity-based learning methods have a great potential as an intuitive and exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi cation, prototypes, or Hebbian learning, with a large variety of di erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andther apyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way towardimportant new directions of algorithmic design and accompanying theory.
Da: preigu, Osnabrück, Germania
EUR 50,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Similarity-Based Clustering | Recent Developments and Biomedical Applications | Thomas Villmann (u. a.) | Taschenbuch | xi | Englisch | 2009 | Springer | EAN 9783642018046 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,37
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Aggiungi al carrelloCondizione: New.
Da: Buchpark, Trebbin, Germania
EUR 40,86
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Similarity-based learning methods have a great potential as an intuitive and ?exible toolbox for mining, visualization,and inspection of largedata sets. They combine simple and human-understandable principles, such as distance-based classi?cation, prototypes, or Hebbian learning, with a large variety of di?erent, problem-adapted design choices, such as a data-optimum topology, similarity measure, or learning mode. In medicine, biology, and medical bioinformatics, more and more data arise from clinical measurements such as EEG or fMRI studies for monitoring brain activity, mass spectrometry data for the detection of proteins, peptides and composites, or microarray pro?les for the analysis of gene expressions. Typically, data are high-dimensional, noisy, and very hard to inspect using classic (e. g. , symbolic or linear) methods. At the same time, new technologies ranging from the possibility of a very high resolution of spectra to high-throughput screening for microarray data are rapidly developing and carry thepromiseofane?cient,cheap,andautomaticgatheringoftonsofhigh-quality data with large information potential. Thus, there is a need for appropriate - chine learning methods which help to automatically extract and interpret the relevant parts of this information and which, eventually, help to enable und- standingofbiologicalsystems,reliablediagnosisoffaults,andtherapyofdiseases such as cancer based on this information. Moreover, these application scenarios pose fundamental and qualitatively new challenges to the learning systems - cause of the speci?cs of the data and learning tasks. Since these characteristics are particularly pronounced within the medical domain, but not limited to it and of principled interest, this research topic opens the way towardimportant new directions of algorithmic design and accompanying theory.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 133,37
Quantità: Più di 20 disponibili
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,12
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,12
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 154,86
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: Used. pp. 232.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 158,11
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Aggiungi al carrelloCondizione: Used. pp. 232 Illus.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 168,66
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Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 157,28
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used. pp. 232.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 155,35
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,57
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Aggiungi al carrelloCondizione: New. In.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. xviii + 310 1st Edition.
Condizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.