Kernel Methods for Pattern Analysis

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Kernel Methods for Pattern Analysis

File Size : 58,58 MB
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Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vector

Kernel Methods for Remote Sensing Data Analysis

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Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard

Linear Algebra and Optimization for Machine Learning

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This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution

Kernel Methods in Bioengineering, Signal and Image Processing

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"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an i