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Hardcover. Zustand: Very Good. 1. 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.

Zustand: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Paperback. Zustand: Fine.

Paperback or Softback. Zustand: New. Seven Mile Bridge. Book.

Hardcover. Zustand: Fine. Zustand des Schutzumschlags: Fine. 1st edition. In Brodart jacket. xvii, 151 p. ; 1st ed.

paperback. Zustand: Used: Good. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDGood 8vo paperback, minor nicks and creases to cover, tanning present, spine glue visible at front free end page, else clean pages, prompt shipping and tracking.

Paperback. Zustand: Brand New. reprint edition. 290 pages. 8.75x5.75x0.50 inches. In Stock.

Paperback. Zustand: New.

Hardcover. Zustand: Fine. First English Edition. SIGNED, I believe, by the first of three editors, Anton Biehl, inscribed warmly to the Classicist Peter Morris Green, "For Peter Green, who may even read this," with an illegible date. First English edition, the first edition having come out first in German. Fine-looking, structurally sound hardcover, little discernible wear, bright interior, unmarked. Volume contains scholarly apparatus in the form of, e.g., notes, index, and bibliography. xv [1], 2-144 pp.Member, I.O.B.A., C.B.A., and adherent to the highest ethical standards. Additional postage may be required for oversize or especially heavy volumes, and for sets. Signed by Author.…

Soft cover. Zustand: Very Good. 1st Edition. Moderate shelf wear, otherwise an intact and unmarked copy.

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.

Zustand: As New. Unread book in perfect condition.

Zustand: New. Print on Demand.

23 cm, Leineneinband, ohne SU. Dritte Auflage. 461 S., Guter Zustand. Sprache: Deutsch Gewicht in Gramm: 1100.

8° , Leineneinband, SU. Dritte Auflage. 461 S., Durchgestrichener Name auf Vorsatz und Spiegel. Sprache: Deutsch Gewicht in Gramm: 1100.

PF. Zustand: New.

Zustand: New. In English.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New.

Paperback. Zustand: Brand New. 1st edition. 203 pages. 9.00x6.00x0.25 inches. In Stock.

Hardcover. Zustand: 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.

Paperback. Zustand: Brand New. 454 pages. 9.69x6.88x1.38 inches. In Stock.

Zustand: New. Sharon M. Meagher is the Vice President for Academic Affairs, Dean of the Faculty, and Professor of Philosophy at Marymount Manhattan College, USA.Samantha Noll is an Assistant Professor in the School of Po.

Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: Neu. The Routledge Handbook of Philosophy of the City | Sharon M Meagher (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis | EAN 9781032569789 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: 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.…

Zustand: New.

Zustand: New.