TY - BOOK ID - 138817520 TI - Kernels for structured data PY - 2008 SN - 9812814566 PB - Singapore ; Hackensack, NJ : World Scientific, DB - UniCat KW - Machine learning. KW - Kernel functions. UR - https://www.unicat.be/uniCat?func=search&query=sysid:138817520 AB - 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 ER -