Projects authored by matthias seeger.


Logo LHOTSE 0.14

by mseeger - November 26, 2007, 21:12:19 CET [ Project Homepage BibTeX ] 5991 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.

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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 ] 7303 views, 1666 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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Logo Updating the Cholesky Decomposition for Simple Changes of the System Matrix 1.0

by mseeger - November 10, 2007, 22:22:39 CET [ Project Homepage BibTeX Download ] 5729 views, 1671 downloads, 0 subscriptions

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.


Logo Expectation Propagation and Experimental Design in the Sparse Linear Model 1.0

by mseeger - November 10, 2007, 22:20:49 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8412 views, 1731 downloads, 0 subscriptions

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 ] 7448 views, 1763 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 ] 6179 views, 1697 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.