Projects that are tagged with kernel learning.


Logo KeLP 1.1.0

by kelpadmin - May 26, 2015, 15:47:03 CET [ Project Homepage BibTeX Download ] 583 views, 123 downloads, 2 subscriptions

About: Kernel-based Learning Platform (KeLP) is Java framework that supports the implementation of kernel-based learning algorithms, as well as an agile definition of kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms, through the definition of specific interfaces. Once a new kernel function has been implemented, it can be automatically adopted in all the available kernel-machine algorithms. KeLP includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. It allows to build complex kernel machine based systems, leveraging on JSON/XML interfaces to instantiate classifiers without writing a single line of code.

Changes:

Many fixes and new functionalities are included in this version. Among them, an efficient and full version of the Smoothed Partial Tree Kernel is for the first time available to the public.

Check out this new version from our repositories. Soon we will upload new versions of the documentation pages, while API Javadoc is already available.

Your suggestions will be very precious for us, so download and try KeLP 1.1.0!

New Representations: - SequenceRepresentation

New Kernels: - SubSetTreeKernel - SmoothedPartialTreeKernel - CompositionallySmoothedPartialTreeKernel - SequenceKernel

New LearningAlgorithms: - LibLinearRegression - BudgetedPassiveAggressive


Logo OptWok 0.3.1

by ong - May 2, 2013, 10:46:11 CET [ Project Homepage BibTeX Download ] 8280 views, 1593 downloads, 1 subscription

About: A collection of python code to perform research in optimization. The aim is to provide reusable components that can be quickly applied to machine learning problems. Used in: - Ellipsoidal multiple instance learning - difference of convex functions algorithms for sparse classfication - Contextual bandits upper confidence bound algorithm (using GP) - learning output kernels, that is kernels between the labels of a classifier.

Changes:
  • minor bugfix

Logo Output Kernel Learning 2.0

by posaune - March 22, 2012, 11:34:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5378 views, 865 downloads, 1 subscription

About: A Matlab script for learning vector-valued functions and kernels on the output space.

Changes:

Added code for learning low-rank output kernels.


Logo Sparse MultiTask Learning Toolbox 1.2

by rflamary - March 18, 2012, 11:31:00 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3684 views, 885 downloads, 1 subscription

About: This package is a set of Matlab scripts that implements the algorithms described in the submitted paper: "Lp-Lq Sparse Linear and Sparse Multiple Kernel MultiTask Learning".

Changes:

Initial Announcement on mloss.org.


Logo PSVM 1.31

by mhex - July 29, 2010, 10:02:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4788 views, 1231 downloads, 1 subscription

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About: PSVM - Support vector classification, regression and feature extraction for non-square dyadic data, non-Mercer kernels.

Changes:

Initial Announcement on mloss.org.


Logo OpenKernel library 0.1

by allauzen - April 23, 2010, 05:25:20 CET [ Project Homepage BibTeX Download ] 9713 views, 1188 downloads, 1 subscription

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About: OpenKernel is a library for creating, combining, learning and using kernels for machine learning applications.

Changes:

Initial Announcement on mloss.org.


Logo Stabilized Infinite Kernel Learning 1.0.0

by ghiasi - April 10, 2010, 08:45:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4646 views, 841 downloads, 1 subscription

About: This software is designed for learning translation invariant kernels for classification with support vector machines.

Changes:

Initial Announcement on mloss.org.