mloss | All entries

Elefant 0.2

by kishorg - October 17, 2008, 03:18:11 CET [ ] 1676 views, 883 downloads, 2 comments, 2 subscriptions

Elefant is an open source software platform for the Machine Learning community licensed under the Mozilla Public License (MPL) and developed using Python, C, and C++. We aim to make it the platform [...]

Authors: Alex Smola, Choon Hui Teo, Christfried Webers, Javen Qinfeng Shi, Julian Mcauley, Kishor Gawande, Le Song, Quoc Le, S V N Vishwanathan, Simon Guenter
License: Mpl 1.1
Programming Language: C++, Python, C

Operating System: Linux, Macosx, Windows
Tags: String Kernel, Support Vector Machine, Python, Regression, Kernels, Online Learning, Feature Selection, Classifiaction, Nips2008

mSplicer 0.3

by sonne - May 18, 2008, 13:07:40 CET [ ] 1342 views, 249 downloads, 2 subscriptions

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For modern biology, precise genome annotations are of prime importance as they allow the accurate definition of genic regions. We employ state of the art machine learning methods to assay and [...]

Authors: Gunnar Raetsch, Soeren Sonnenburg
License: Gpl
Programming Language: C++, Python

Operating System: Cygwin, Linux, Macosx
Tags: Bioinformatics, Large Scale, Shogun, String Kernel, Structure Learning, Support Vector Machine

Learning the Kernel Matrix 1

by chap - January 14, 2008, 08:50:37 CET [ ] 1623 views, 252 downloads, 1 subscription

Code for automatically selecting the kernel parameters of an SVM. It is based on a gradient descent minimization of either the radius/margin bound, the leave-one-out error, a validation error or the [...]

Authors: Olivier Chapelle
License: Free Bsd
Programming Language: Matlab

Operating System: Linux, Windows, Macos
Tags: Support Vector Machine, Kernel Methods

LASVM 1

by leonbottou - November 14, 2007, 14:09:34 CET [ ] 913 views, 214 downloads, 0 subscriptions

Reference implementation of the LASVM online and active SVM algorithms as described in the JMLR paper. The interesting bit is a small C library that implements the LASVM process and reprocess [...]