11 projects found that use matlab as the programming language.
Showing Items 141-151 of 151 on page 8 of 8: First Previous 3 4 5 6 7 8

Logo GraphDemo 1.0

by ule - November 27, 2007, 20:11:21 CET [ Project Homepage BibTeX Download ] 4478 views, 1264 downloads, 0 subscriptions

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About: The GraphDemo provides Matlab GUIs to explore similarity graphs and their use in machine learning. It aims to highlight the behavior of different kinds of similarity graphs and to demonstrate their [...]

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Initial Announcement on mloss.org.


Logo Primal training Support Vector Machines 1.0

by chap - November 19, 2007, 17:41:14 CET [ Project Homepage BibTeX Download ] 5627 views, 1256 downloads, 0 comments, 0 subscriptions

About: Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is [...]

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Initial Announcement on mloss.org.


Logo Spider 1.71

by jaseweston - November 19, 2007, 15:51:59 CET [ Project Homepage BibTeX Download ] 6031 views, 1863 downloads, 0 subscriptions

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About: The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be [...]

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Initial Announcement on mloss.org.


Logo SimpleSVM 2.99

by gaelle - November 15, 2007, 16:59:45 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9698 views, 1750 downloads, 0 subscriptions

About: The SimpleSVM toolbox contains the svm solver of the same name. The current version includes C-SVM, HM-SVM and nu-SVM based on the regularization path. It will soon include OC-SVM, regularization [...]

Changes:

Initial Announcement on mloss.org.


Logo Incomplete Cholesky Decomposition for Dense Matrices 1.0

by mseeger - November 10, 2007, 22:23:52 CET [ Project Homepage BibTeX Download ] 4859 views, 1069 downloads, 0 subscriptions

About: The incomplete Cholesky decomposition for a dense symmetric positive definite matrix A is a simple way of approximating A by a matrix of low rank (you can choose the rank). It has been used [...]

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Initial Announcement on mloss.org.


About: You should never compute, maintain, or update the inverse of a symmetric positive definite matrix if you do not have to. Computing the inverse or manipulating it is inherently instable. You can [...]

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Initial Announcement on mloss.org.


About: This page contains the implementation used in the paper „Experimental Design for Efficient Identification of Gene Regulatory Networks using Sparse Bayesian Models“ by Florian Steinke, Matthias [...]

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Initial Announcement on mloss.org.


Logo Kernel Multiple Logistic Regression 1.0

by mseeger - November 10, 2007, 22:16:50 CET [ Project Homepage BibTeX Download ] 5044 views, 1149 downloads, 0 subscriptions

About: Efficient implementation of penalized multiple logistic regression (aka multi-class) with Mercer kernels, aka MAP approximation to the multi-class Gaussian process model. This includes [...]

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Initial Announcement on mloss.org.


Logo Some essential Matlab extensions 1.0

by mseeger - November 10, 2007, 22:15:31 CET [ Project Homepage BibTeX Download ] 3782 views, 1065 downloads, 0 comments, 0 subscriptions

About: This is a set of MATLAB(R) functions and MEX files which I wrote to make working with this system somewhat bearable. They allow to call BLAS and LAPACK functions, which do very efficient dense [...]

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Initial Announcement on mloss.org.


Logo Variational Bayesian Linear Gaussian State-Space Models 1

by silviac - November 10, 2007, 22:06:26 CET [ Project Homepage BibTeX Download ] 3933 views, 1046 downloads, 0 subscriptions

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Logo gboost 0.1.1

by nowozin - November 4, 2007, 07:52:21 CET [ Project Homepage BibTeX Download ] 6193 views, 1359 downloads, 0 subscriptions

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About: The gboost toolbox is a framework for classification of connected, undirected, labeled graphs.

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Initial Announcement on mloss.org.


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Showing Items 141-151 of 151 on page 8 of 8: First Previous 3 4 5 6 7 8