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Lädt ... Kernels For Structured Data (Series in Machine Perception & Art Intelligence)von Thomas Gärtner
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This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be applied to structured data. Kernel methods are a class of state-of-the-art learning algorithms that exhibit excellent learning results in several application domains. Originally, kernel methods were developed with data in mind that can easily be embedded in a Euclidean vector space. Much real-world data does not have this property but is inherently structured. An example of such data, often consulted in the book, is the (2D) graph structure of molecules formed by Keine Bibliotheksbeschreibungen gefunden. |
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Google Books — Lädt ... GenresMelvil Decimal System (DDC)006.31Information Computer Science; Knowledge and Systems Special Topics Artificial Intelligence Machine LearningKlassifikation der Library of Congress [LCC] (USA)BewertungDurchschnitt: Keine Bewertungen.Bist das du?Werde ein LibraryThing-Autor. |