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## OpenKernel Background Material | ||||||||

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such as n-gram kernels, gappy n-gram kernels, mismatch kernels, and Hausler's convolution kernels are special cases of rational kernels. | ||||||||

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< < | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | |||||||

> > | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 5:1035--1062, 2004. | |||||||

## References |

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## OpenKernel Background Material | ||||||||

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< < | .Under construction | |||||||

> > | Kernel methods (such as SVM, perceptron, kernel PCA) are widely used in machine learning. Applying this methods
in text and language processing or bioinformatics requires to be able to define kernels on sequences or distributions
of sequences. Rational kernels are a general framework for defining such kernels. Commonly used kernels on sequences
such as n-gram kernels, gappy n-gram kernels, mismatch kernels, and Hausler's convolution kernels are special
cases of rational kernels. | |||||||

The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | ||||||||

Added: | ||||||||

> > | ## References | |||||||

Added: | ||||||||

> > | Rational kernels
- Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms,
*Journal of Machine Learning Research*5:1035--1062, 2004.
- Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini and Chris Watskins. Text Classification using String Kernels,
*Journal of Machine Learning Research*2:419-444, 2002.
- Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston and William Stafford Noble. Mismatch string kernels for discriminative protein classification.
*Bioinformatics*20(4):467-476, 2004.
- David Hausler. Convolution kernels on discrete structures. Technical Report UCSC-CRL-99-10, University of California at Santa Cruz, 1999.
- Bernard Scholköpf and Alex Smola.
*Learning with kernels*. MIT Press, 2002.
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-- CyrilAllauzen - 08 Oct 2007 \ No newline at end of file |

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## OpenKernel Background Material | ||||||||

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< < | .Under construction | |||||||

> > | .Under construction | |||||||

Changed: | ||||||||

< < | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | |||||||

> > | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | |||||||

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## OpenKernel Background Material
| ||||||||

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< < | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | |||||||

> > | The notion of rational kernel was introduced by: Corinna Cortes, Patrick Haffner and Mehryar Mohri, Rational Kernels: Theory and Algorithms, Journal of Machine Learning Research 1:1-50, 2004. | |||||||

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> > |
## OpenKernel Background Material
The notion of
-- CyrilAllauzen - 08 Oct 2007 |

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