[PDF.79ej] Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)
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Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)
Thomas Gärtner
[PDF.jx11] Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence)
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| #5839770 in Books | 2009-08-29 | Original language:English | PDF # 1 | 9.00 x.80 x6.10l,1.15 | File type: PDF | 216 pages|
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...
You easily download any file type for your gadget.Kernels For Structured Data (Series in Machine Perception & Art Intelligence) (Series in Machine Perception and Artifical Intelligence) | Thomas Gärtner. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.