Support vector machines and other kernel-based learning methods

An Introduction to Support Vector Machin

📁 An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

✍ Nello Cristianini, John Shawe-Taylor 📂 Library 📅 2013 🏛 Cambridge University Press 🌐 English

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material requ

An Introduction to Support Vector Machin

📁 An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

✍ Nello Cristianini, John Shawe-Taylor 📂 Library 📅 2014 🏛 Cambridge University Press 🌐 English

<span>This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the materia

An Introduction to Support Vector Machin

📁 An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

✍ Nello Cristianini, John Shawe-Taylor 📂 Library 📅 2000 🏛 Cambridge University Press 🌐 English

This is the first comprehensive introduction to SVMs, a new generation learning system based on recent advances in statistical learning theory; it will help readers understand the theory and its real-world applications.

An Introduction to Support Vector Machin

📁 An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

✍ Nello Cristianini, John Shawe-Taylor 📂 Library 📅 2000 🏛 Cambridge University Press 🌐 English

This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material requ

Advances in Kernel Methods: Support Vect

📁 Advances in Kernel Methods: Support Vector Learning

✍ Schoelkopf B., Burges C.J.C., Smola A.J. (eds.) 📂 Library 📅 1999 🏛 MIT 🌐 English

Advances in Kernel Methods: Support Vect

📁 Advances in Kernel Methods: Support Vector Learning

✍ Bernhard Schölkopf (editor), Christopher J. C. Burges (editor), Alexander J. Smo 📂 Library 📅 1998 🏛 Mit Pr 🌐 English

<span>The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the