20 projects found that use matlab as the programming language.
Showing Items 121-140 of 151 on page 7 of 8: First Previous 2 3 4 5 6 7 8 Next

About: Matlab code for performing variational inference in the Indian Buffet Process with a linear-Gaussian likelihood model.

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Initial Announcement on mloss.org.


Logo dataformat 0.1.1

by mikio - March 12, 2009, 16:07:55 CET [ Project Homepage BibTeX Download ] 7731 views, 1483 downloads, 2 subscriptions

About: The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible.

Changes:

Forgot to include the Java sources.


Logo chi2 kernel 1.5

by gruel - February 15, 2009, 22:32:21 CET [ BibTeX Download ] 11016 views, 2271 downloads, 1 subscription

About: Very fast implementation of the chi-squared distance between histograms (or vectors with non-negative entries).

Changes:

Removed bug in symmetric chi-square distance and updated python wrapper to python 2.5 compatiblity.


Logo figtree 0.9.2

by vmorariu - January 17, 2009, 00:13:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4749 views, 4458 downloads, 1 subscription

About: A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and a tree data structure. This library is useful for efficient Kernel Density [...]

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Initial Announcement on mloss.org.


Logo MPI IKL 1.0

by pgehler - January 16, 2009, 16:39:29 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7608 views, 1450 downloads, 1 subscription

About: This package contains an implementation of the Infinite Kernel Learning (IKL) algorithm and the SimpleMKL algorithm. This is realized by building on Coin-Ipopt-3.3.5 and Libsvm.

Changes:

Initial Announcement on mloss.org.


Logo MPIKmeans 1.5

by pgehler - January 16, 2009, 15:48:47 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 34924 views, 5385 downloads, 1 subscription

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About: A K-means clustering implementation for command-line, Python, Matlab and C. This algorithm yields the very same solution as standard Kmeans, even after each iteration. However it uses some triangle [...]

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Initial Announcement on mloss.org.


Logo rdetools 0.1

by mikio - December 4, 2008, 22:56:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4541 views, 1064 downloads, 1 subscription

About: This software contains several matlab scripts for computing the RDE (relevant dimensionality estimate). The RDE measures the number of leading PCA components in feature space which contain the [...]

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Initial Announcement on mloss.org.


Logo Finding nonlinear and stochastic structures in time series 1

by Dante - October 29, 2008, 11:14:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6544 views, 1310 downloads, 2 subscriptions

About: The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. Using the surrogate data methodology, so called DVV plots and DVV scatter [...]

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Initial Announcement on mloss.org.


Logo CVX, a modeling system for disciplined convex programming 1.2

by mcgrant - October 21, 2008, 23:55:08 CET [ Project Homepage BibTeX Download ] 7038 views, 1296 downloads, 2 subscriptions

About: CVX is a Matlab-based modeling system for convex optimization. CVX turns Matlab into a modeling language, allowing constraints and objectives to be specified using standard Matlab expression syntax. [...]

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Initial Announcement on mloss.org.


Logo JMLR LIBLINEAR 1.32

by biconnect - September 3, 2008, 17:35:24 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 18120 views, 2088 downloads, 2 subscriptions

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About: LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM

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Initial Announcement on mloss.org.


About: You can use the software in this package to efficiently sample from

Changes:

Initial Announcement on mloss.org.


Logo SimpleMKL 0.5

by arakotom - June 11, 2008, 00:56:47 CET [ Project Homepage BibTeX Download ] 10334 views, 2728 downloads, 5 subscriptions

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About: Matlab Multiple Kernel Learning toolbox. Features : MKL for SVM Classification, Regression and MultiClass. It needs SVM-KM Toolbox

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Initial Announcement on mloss.org.


Logo SVM and Kernel Methods Toolbox 0.5

by arakotom - June 10, 2008, 21:29:39 CET [ Project Homepage BibTeX Download ] 10155 views, 2433 downloads, 2 subscriptions

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About: SVM Toolbox fully written in Matlab (even the QP solver). Features : SVM, MultiClassSVM, One-Class, SV Regression, AUC-SVM and Rankboost, 1-norm SVM, Regularization Networks, Kernel Basis Pursuit [...]

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Initial Announcement on mloss.org.


Logo mcmkl 0.1

by ong - May 15, 2008, 15:30:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7734 views, 1550 downloads, 1 subscription

About: We provide some preliminary code for multiclass multiple kernel learning in Matlab using CPLEX as a base solver.

Changes:

Initial Announcement on mloss.org.


Logo Logistic regression with dual spectral regularization 1.0

by ryota - April 27, 2008, 08:44:51 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5565 views, 1342 downloads, 1 subscription

About: It solves a classification problem over symmetric matrices with dual spectral norm (trace norm) regularization using a simple interior point method. It was successfully applied to single trial EEG [...]

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Initial Announcement on mloss.org.


Logo Variational Dirichlet process Gaussian mixtures 0.1

by kenkurihara - April 22, 2008, 01:41:49 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6745 views, 1414 downloads, 0 subscriptions

About: This is an implementation of variational Dirichlet process Gaussian mixtures. Thus, this works like the k-means, but it searched for the number of clusters as well. Couple algorithms are [...]

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Initial Announcement on mloss.org.


About: The High-Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for high-dimensional data. This classifier is based on a mixture of Gaussian models adapted for [...]

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Initial Announcement on mloss.org.


Logo Learning the Kernel Matrix 1

by chap - January 14, 2008, 08:50:37 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6449 views, 1422 downloads, 1 subscription

About: 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 [...]

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Initial Announcement on mloss.org.


About: The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for [...]

Changes:

Initial Announcement on mloss.org.


Logo iBoost 0.1

by hiroto - December 1, 2007, 00:34:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5050 views, 1250 downloads, 0 subscriptions

About: Itemset boosting (iBoost) performs linear regression in the complete space of power sets of mutations. It implements a forward feature selection procedure where, in each iteration, one mutation [...]

Changes:

Initial Announcement on mloss.org.


Showing Items 121-140 of 151 on page 7 of 8: First Previous 2 3 4 5 6 7 8 Next