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---+ !OpenKernel Library

_OpenKernel_ is a library for creating, combining and using
kernels for machine learning applications. The current focus of library is on rational
kernels. It is based on the [[FST.WebHome][OpenFst library]].

This library is being developed by [[Main.CyrilAllauzen][C. Allauzen]], [[Main.MehryarMohri][M. Mohri]] and [[Main.AfshinRostamizadeh][A. Rostamizadeh]]. It is intended to be comprehensive, flexible, efficient and scale well to large-scale problems. It is an open source project distributed under the [[http://www.apache.org/licenses/LICENSE-2.0][Apache license%ICON{external}%]]. This work has been partially supported by Google Inc.

%ICON{led-red}% _[[KernelDownload][Latest version]] includes algorithms for [[LearningKernels][learning kernels]] and [[KernelRidgeRegressionDoc][kernel ridge regression]]._

   * [[KernelBackground][Background Material]] 
   * Creating and using rational kernels
      * [[KernelQuickTour][Quick Tour]] 
         * [[KernelQuickTour#LibraryUsage][Using the library]]
            * [[KernelQuickTour#DataPreparation][Preparing your data]]
            * [[KernelQuickTour#KernelCreation][Creating an _n_ -gram kernel]]
            * [[KernelQuickTour#KernelMatrix][Computing the kernel matrix]]
         * [[KernelQuickTour#LibsvmPlugin][Using the LIBSVM plugin]]
      * [[ReutersSubset][A detailed example: a subset of Reuters-21578]]
   * Learning kernels
      * [[LearningKernelsQuickstart][Quick Tour]]
      * [[LearningKernelsDoc][Full documentation]]
      * [[LearningKernelsFeatures][Table of implemented features]]
      * [[ExampleDatasets][Example of datasets and results]]
   * [[KernelRidgeRegressionDoc][Kernel ridge regression]]
   * [[KernelDownload][Download]]
Topic revision: r52 - 2018-05-10 - MichaelRiley
Kernel