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Logo Marray 2.2

by andres - July 6, 2011, 01:27:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4606 views, 1096 downloads, 1 subscription

About: Fast Runtime-Flexible Multi-dimensional Arrays and Views for C++

Changes:

Initial Announcement on mloss.org.


Logo Figue 1.0.1

by lerhumcbon - August 17, 2010, 04:03:35 CET [ Project Homepage BibTeX Download ] 4583 views, 1145 downloads, 1 subscription

About: A collection of clustering algorithms implemented in Javascript.

Changes:

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 ] 4547 views, 1281 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 [...]

Changes:

Initial Announcement on mloss.org.


Logo gWT graph indexing wavelet tree 1.0.0

by ytabei - May 12, 2011, 23:01:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4467 views, 879 downloads, 1 subscription

About: Software for graph similarity search for massive graph databases

Changes:

Initial Announcement on mloss.org.


Logo Pynopticon 0.1

by Wiecki - February 1, 2009, 18:55:10 CET [ Project Homepage BibTeX Download ] 4464 views, 1312 downloads, 1 subscription

About: Pynopticon is a toolbox that allows you to create and train your own object recognition classifiers. It makes rapid prototyping of object recognition work flows a snap. Simply create a dataset of [...]

Changes:

Initial Announcement on mloss.org.


Logo libcluster 2.3

by dsteinberg - February 27, 2016, 00:36:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4455 views, 998 downloads, 3 subscriptions

About: An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Changes:

New maximum cluster argument for all algorithms. Also no more matlab interface since it seemed no one was using it, and I cannot support it any longer.


Logo minFunc 2012

by markSchmidt - December 18, 2013, 01:07:07 CET [ Project Homepage BibTeX Download ] 4391 views, 862 downloads, 1 subscription

About: minFunc is a Matlab function for unconstrained optimization of differentiable real-valued multivariate functions using line-search methods. It uses an interface very similar to the Matlab Optimization Toolbox function fminunc, and can be called as a replacement for this function. On many problems, minFunc requires fewer function evaluations to converge than fminunc (or minimize.m). Further it can optimize problems with a much larger number of variables (fminunc is restricted to several thousand variables), and uses a line search that is robust to several common function pathologies.

Changes:

Initial Announcement on mloss.org.


Logo Random Forests 5.1

by zenog - September 21, 2011, 14:14:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4388 views, 832 downloads, 1 subscription

About: The original Random Forests implementation by Breiman and Cutler.

Changes:

Initial Announcement on mloss.org.


Logo LHOTSE 0.14

by mseeger - November 26, 2007, 21:12:19 CET [ Project Homepage BibTeX ] 4367 views, 27 downloads, 0 comments, 0 subscriptions

About: *LHOTSE* is a C++ class library designed for the implementation of large, efficient scientific applications in Machine Learning and Statistics.

Changes:

Initial Announcement on mloss.org.


Logo Epistatic MAP Imputation 1.1

by colm - November 25, 2010, 21:01:10 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4353 views, 1017 downloads, 1 subscription

About: Epistatic miniarray profiles (E-MAPs) are a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The datasets resulting from E-MAP experiments typically take the form of a symmetric pairwise matrix of interaction scores. These datasets have a significant number of missing values - up to 35% - that can reduce the effectiveness of some data analysis techniques and prevent the use of others. This project contains nearest neighbor based tools for the imputation and prediction of these missing values. The code is implemented in Python and uses a nearest neighbor based approach. Two variants are used - a simple weighted nearest neighbors, and a local least squares based regression.

Changes:

Initial Announcement on mloss.org.


Showing Items 401-410 of 624 on page 41 of 63: First Previous 36 37 38 39 40 41 42 43 44 45 46 Next Last