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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...
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OpenKernel README OpenKernel Beta release PLATFORMS: This version is known to work under Linux and MacOS X using g . The makefiles are unlikely to work on...
OpenKernel Download Latest release download: OpenKernel beta 20111101.tgz OpenFst download (required): ( FST.FstDownload more info) From the release: README...
OpenKernel Quick Tour Under construction . Using the library In this quick tour, we will focus on the command line utilities and LIBSVM plugin. The command line...
Example Datasets and Results Below are example datasets and results using the OpenKernel library. The results can be obtained by running the cross validation.sh...
Reuters 21578 subset: a dataset example The reuters.subset.tgz archive contains a subset of the om/resources/testcollections/reuters21578/ Reuters 21578 often used...
Learning Kernels Quickstart Here we give some examples showing how to automatically create custom kernels using data. The kernels are generally created from a combination...
Here we list which kernel learning (KL) methods are implemented within each command line binary. The entry {krr,svm,any} indicates whether the algorithm is designed...
Learning Kernels Documentation Command Line Binaries There are three main command line binaries that can be used for generating a kernel or feature mapping, depending...
Top Menu of Kernel Web This topic defines the menu structure of the Kernel web, used by the TopMenuSkin. 1 Web` Create New Topic...
OpenFst COPYING Licensed under the Apache License, Version 2.0 (the `License`); you may not use these files except in compliance with the License. You may obtain a...
Learning Kernels Get started right away with examples: LearningKernelsQuickstart Full documentation of command line flags: LearningKernelsDoc Table...
Kernel Ridge Regression Documentation The KRR tools are split into two binaries, one for training and one for prediction. The data file consists of either explicit...
Kernel Web Preferences The following settings are web preferences of the Kernel web. These preferences overwrite the site level preferences in . and...
CyrilAllauzen 24 Aug 2009 liblinear 1.33.tar.gz: LIBLINEAR version 1.33 liblinear 1.32.tar.gz: LIBLINEAR version 1.32
OpenKernel Background Material Kernel methods (such as SVM, perceptron, kernel PCA) are widely used in machine learning. Applying these methods in text and language...
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