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| 2008-08-29 | 2008-08-29 | Original language:English | 9.25 x.49 x6.12l, | 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...
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