TY - BOOK ID - 1737593 TI - Kernel methods for pattern analysis AU - Shawe-Taylor, John AU - Cristianini, Nello PY - 2004 SN - 0521813972 9780521813976 PB - Cambridge : Cambridge University Press, DB - UniCat KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Mathematical statistics KW - 681.3*I5 KW - 681.3*I5 Pattern recognition (Computing methodologies) KW - Pattern recognition (Computing methodologies) KW - Algorithms KW - Kernel functions KW - Machine learning KW - Pattern perception KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception KW - Learning, Machine KW - Artificial intelligence KW - Machine theory KW - Functions, Kernel KW - Functions of complex variables KW - Geometric function theory KW - Algorism KW - Algebra KW - Arithmetic KW - Data processing KW - Foundations KW - Machine Learning. KW - Algorithms. KW - Data processing. KW - Kernel functions. KW - Machine learning. KW - Data analysis KW - Network analysis KW - Grading KW - Computer software KW - Apprentissage automatique KW - Algorithmes KW - Noyaux (Mathématiques) KW - Perception de structure KW - Informatique KW - Pattern perception - Data processing. KW - Algorithme UR - https://www.unicat.be/uniCat?func=search&query=sysid:1737593 AB - This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so. ER -