Schenker adam (11 risultati)
- Rilegato
Da: Isaiah Thomas Books & Prints, Inc., Cotuit, MA, U.S.A.Isaiah Thomas Books & Prints, Inc.
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Ottimo
EUR 31,25
EUR 4,29 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Fine. Fine new copy in dj. Review slip from publisher laid in. sci; Series In Machine Perception And Artificial Intelligence; 9.0 X 6.2 X 0.9 inches; 235 pages.
- Rilegato
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, , GermaniaUniversitätsbuchhandlung Herta Hold GmbH
Contatta il venditoreVenditore con 4 stelleCondizione: Usato
EUR 23,00
EUR 30,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
16 x 23 cm. 248 pages. 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. Sprache: Englisch.
- Rilegato
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 126,77
Spedizione gratuitaSpedito in U.S.A.Quantità: 5 disponibili
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.
Graph-theoretic Techniques for Web Content Mining
Schenker, Adam; Bunke, Horst; Last, Mark; Kandel, Abraham; Schenker, Dam
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 168,60
EUR 2,29 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
Graph-Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence)
Schenker, Adam/ Bunke, Horst/ Last, Mark/ Kandel, Abraham/ Schenker, Dam
- Rilegato
Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 169,61
EUR 11,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: Brand New. illustrated edition. 248 pages. 9.25x6.25x0.75 inches. In Stock.
Graph-theoretic Techniques for Web Content Mining
Schenker, Adam; Bunke, Horst; Last, Mark; Kandel, Abraham; Schenker, Dam
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 184,39
EUR 2,29 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: New.
Graph-theoretic Techniques for Web Content Mining
Schenker, Adam; Bunke, Horst; Last, Mark; Kandel, Abraham; Schenker, Dam
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 169,50
EUR 17,38 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
Graph-theoretic Techniques for Web Content Mining
Schenker, Adam; Bunke, Horst; Last, Mark; Kandel, Abraham; Schenker, Dam
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 175,55
EUR 17,38 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
- Rilegato
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 195,32
EUR 13,88 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Condizione: New. In.
- Rilegato
Da: moluna, Greven, , Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 167,87
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Gebunden. Condizione: New. Describes opportunities for utilizing robust graph representations of data with machine learning algorithms. The authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual.
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 207,15
EUR 62,44 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware - This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance -…- a relatively new approach for determining graph similarity -- the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms. To demonstrate and investigate these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance. Several methods of representing web document content by graphs are introduced; an interesting feature of these representations is that they allow for a polynomial time distance computation, something which is typically an NP-complete problem when using graphs. Experimental results are reported for both clustering and classification in three web document collections using a variety of graph representations, distance measures, and algorithm parameters. In addition, this book describes several other related topics, many of which provide excellent starting points for researchers and students interested in exploring this new area of machine learning further. These topics include creating graph-based multiple classifier ensembles through random node selection and visualization of graph-based data usingmultidimensional scaling.
