The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, ex...(展开全部)

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. Th...(展开全部)

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. Th...(展开全部)

How are relationships established between the world's languages? This is one of the most topical and most controversial questions in contemporary linguistics. The central aims of this 2008 book are to answer this question, to cut through the controversies, and to contribute to research in distant genetic relationships. In doing this the authors aim to: (1) show how the methods ...(展开全部)

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic tech...(展开全部)

The lack of a specific contemporary guide to pattern design called for the publication of this volume. It brings together a wide variety of pattern designs and their variations and maps the spectrum of their possible applications, such as wallpaper, furniture, interior design, clothes and more. Featuring work from outstanding pattern designers from around the world, this book c...(展开全部)

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic tech...(展开全部)

The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for ...(展开全部)

This groundbreaking handbook of human strengths and virtues is the first progress report from a prestigious group of researchers in the Values in Action Classification Project, which has undertaken a systematic classification and measurement of universal strengths and virtues. This landmark work makes possible for the first time a science of human strengths that goes beyond arm...(展开全部)