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1.Kernel Methods for Pattern Analysis by: John Shawe-Taylor, Nello Cristianini June 28, 2004
>>More Details		List Price: £48.00 Off The Bookshelf's Price: £45.60 You Save: £2.40 ( 5%) Prices subject to change. Used Price: £54.12

2.An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by: Nello Cristianini, John Shawe-Taylor March 23, 2000
Average Rating: >>More Details		List Price: £40.00 Off The Bookshelf's Price: £38.00 You Save: £2.00 ( 5%) Prices subject to change. Used Price: £29.99
Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

3.Analysis of the mean field annealing algorithm for graph colouring by: John Shawe Taylor, Janez Zerovnik 1993
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

4.Theory of symmetry network structure by: Jeffrey Wood, John Shawe Taylor 1993
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

5.Analysis of the mean field annealing algorithm for graph bisection by: John Shawe Taylor, Tomaz Pisanski 1993
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

6.Jesus Christ. A religious tract by: John Shawe Taylor 1898
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

7.Computational Learning Theory: EuroCOLT '93 (Institute of Mathematics & Its Applications Conference Series, New) from: Clarendon Press November 01, 1994
Average Rating: >>More Details		Used Price: £40.00
Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

8.Bitstream neurons for graph colouring by: Peter Burge, John Shawe Taylor 1994
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Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

9.Advances in Intelligent Data Analysis: 7th International Symposium on Intelligent Data Analysis, Ida 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings: ... No. 8 (Lecture Notes in Computer Science) from: Springer-Verlag Berlin and Heidelberg GmbH & Co. K August 28, 2007
Average Rating: >>More Details		List Price: £40.00 Off The Bookshelf's Price: £38.00 You Save: £2.00 ( 5%) Prices subject to change. Used Price: £43.63
Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

10.Sample sizes for sigmoidal neural networks by: John Shawe Taylor 1994
Average Rating: >>More Details		Used Price:
Support vector machines (SVM) are the one of the best performing machine learning methods currently available. As a relative new method SVM's are also under very intensive research, both by theorists and practitioners. This book provides an understandable introduction to this relative difficult subject. An introduction to to generalization theory is also included. To understand all the content of the book, at least good college-level math skills are needed, however.

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