[PDF.05bp] Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)

Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)

[PDF.qg27] Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)

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 | #5867237 in Books |  2009-08-29 | Original language:English | PDF # 1 |  9.00 x.80 x6.10l,1.15 | File type: PDF | 216 pages

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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 in...

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