An Introduction to Support Vector Machines and Other Kernelbased Learning Methods eBook Nello Cristianini John ShaweTaylor Laden Sie i XUJ

An Introduction to Support Vector Machines and Other Kernelbased Learning Methods eBook Nello Cristianini John ShaweTaylor ebook EAR

An Introduction to Support Vector Machines and Other Kernelbased Learning Methods eBook Nello Cristianini John ShaweTaylor ebook An%20Introduction%20to%20Support%20Vector%20Machines%20and%20Other%20Kernelbased%20Learning%20Methods%20eBook%20Nello%20Cristianini%20John%20ShaweTaylor

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ebook An Introduction to Support Vector Machines and Other Kernelbased Learning Methods eBook Nello Cristianini John ShaweTaylor EAR

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This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software.
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An Introduction to Support Vector Machines and Other Kernelbased Learning Methods eBook Nello Cristianini John ShaweTaylor Reviews :

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software.

ebook,Nello Cristianini, John Shawe-Taylor,An Introduction to Support Vector Machines and Other Kernel-based Learning Methods,Cambridge University Press,Programming - General,ALGORITHMS (COMPUTER PROGRAMMING LANGUAGE),Algorithms,Algorithms procedures,Algorithms (Computer Programming),Artificial intelligence,COMPUTERS / Bioinformatics,COMPUTERS / Intelligence (AI) Semantics,COMPUTERS / Programming / General,Computer Books General,Computer Programming,Computer science,Computer/General,Computers,Computers - General Information,General,Great Britain/British Isles,Intelligence (AI) Semantics,Kernel functions,Kernel functions.,MACHINE LEARNING,Mathematics/General,Non-Fiction,Pattern recognition,Programming - General,Scholarly/Graduate,Support vector machines,Support vector machines.,Textbooks (Various Levels),UNIVERSITY PRESS,COMPUTERS / Bioinformatics,COMPUTERS / Intelligence (AI) Semantics,COMPUTERS / Programming / General,General,Intelligence (AI) Semantics,Mathematics/General,Computers - General Information,Algorithms (Computer Programming),Computers,Computer Books General,Algorithms procedures,Artificial intelligence,Computer Programming,Computer science,Pattern recognition

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods eBook Nello Cristianini, John Shawe-Taylor

 

Product details File Size 5318 KB Print Length 208 pages Simultaneous Device Usage Up to 4 simultaneous devices, per publisher limits Publisher Cambridge University Press; 1 edition (March 23, 2000) Publication Date March 23, 2000 Sold by  Services LLC Language English ASIN B00AKE1PR8

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