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Cristianini, N. and Shawe-Taylor, J. (2000). An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press.

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Journal of Machine Learning Research 6 (2005) 1579--1619.. - With Online And (2005)   Self-citation (Cristianini)   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other kernelbased learning methods. Cambridge University Press, Cambridge, UK, 2000.


The Subspace Information Criterion for Infinite Dimensional.. - Sugiyama, al. (2002)   Self-citation (Cristianini)   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge, UK, 2000.


The Maximum-Margin Approach to Learning Text Classifiers -.. - Joachims (2000)   (17 citations)  (Correct)

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Cristianini, N. and Shawe-Taylor, J. (2000). An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press.


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N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and other Kernel-based Learning Methods, Cambridge University Press, Cambridge, 2000.


Loss Functions and Structured Domains for Support Vector Machines - Portera (2005)   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge University Press, Cambridge, 2000.


Journal of Machine Learning Research 7 (2006) 1467--1492 .. - On Multiprocessor..   (Correct)

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Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-Based Learning Methods. Cambridge University Press, 2000.


A Sparse Probabilistic Learning Algorithm for Real-Time.. - Oliver Williams Department (2003)   (3 citations)  (Correct)

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N. Cristianini and J. Shawe-Taylor. An introduction to support vector machines and other kernel-based methods.Cam- bridge University Press, 2000.


Model Selection in an Ensemble Framework - Wichard (2006)   (Correct)

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N. Cristianini and J. Shawe-Taylor, An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, 2000.


Pattern Classification with Polynomial Learning - Machines Jonathan Bernick   (Correct)

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Cristianini, N., and Shawe-Taylor, J., An Introduction to Support Vector Machines and Other Kernelbased Learning Methods, Cambridge University Press; 1st edition, March 23, 2000.


Transformation Algorithms for Data Streams - Stephen Eick Sss (2005)   (Correct)

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Cristianini, N. and Shawe-Taylor, J., "An Introduction to Support Vector Machines and other kernel-base learning methods", Cambridge University Press, 2000.


Robust Estimation of Conditional Mean by the Linear - Combination Of Quantile   (Correct)

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Cristianini, N., Shawe-Taylor, J., An Introduction to Support Vector machines and other kernel-based learning methods, Cambridge University Press, 2000.


A Framework for Resolution of Time in Natural - Language Benjamin Han (2004)   (Correct)

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CRISTIANINI, N. AND SHAWE-TAYLOR, J. 2000. An Introduction to Support Vector Machines and Other Kernelbased Learning Methods. Cambridge University Press.


Based on Mass Spectrum of Blood Samples - Hong Tang Of   (Correct)

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Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machine and Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge, uk, 2000.


Real Time Facial Expression Recognition in Video - Using Support Vector   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge University Press, Cambridge, UK, 2000.


Approximating a Gram Matrix for Improved - Kernel-Based Learning Petros   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge, 2000.


On the Nystrom Method for Approximating a Gram Matrix for - Improved Kernel-Based..   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, Cambridge, 2000. 18


Discovering Interesting Patterns through User's Interactive.. - Xin, Shen, Mei, Han (2006)   (Correct)

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N. Cristianini and J. Shawe-Taylor. An introduction to support vector machines and other kernel-based learning methods. Cambridge Univ. Press, 2000.


Weighted Kernel Functions for SVM Learning in String.. - Vanschoenwinkel.. (2005)   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge University Press, 2000.


Appropriate Kernel Functions for Support Vector Machine .. - Vanschoenwinkel.. (2005)   (Correct)

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Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge University Press (2000)


Data For An E-Travel System - Andy Nauli Bachelor   (Correct)

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Nello Cristianini and John Shawe-Taylor. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, March 2000.


WBCSVM : Weighted Bayesian Classification based on Support .. - Thomas Grtner Thomas   (Correct)

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Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to Support Vector Machines and other kernel-based methods. Cambridge University Press.


Feature Subset Selection for Support Vector - Machines Using Confident (2005)   (Correct)

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N. Cristianini and J. Shawa-Taylor, An introduction to support vector machines and other kernel-based learning methods. Cambridge: Cambridge University Press, 2000.


Face Detection Based on Multiple Regression and Recognition.. - Fang, Qiu (2003)   (Correct)

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Nello Cristianini and John Shawe-Tayor. An introduction to Support Vector Machines: and Other Kernel-based Learning Methods. Cambridge Uni. Press, 2000.


Complexity of Hyperconcepts Joel Ratsaby - Ben Gurion University (2005)   (Correct)

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N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines and other Kernel-based learning methods, Cambridge University Press, 2000.


Supervised Nonparametric Information Theoretic Classification - Edric Archambeau Torsten   (Correct)

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N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge university press, 2000.

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