mseeger has posted 6 projects.


Logo LHOTSE 0.14

by mseeger - November 26, 2007, 21:12:19 CET [ Project Homepage BibTeX ] 3177 views, 26 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 Incomplete Cholesky Decomposition for Dense Matrices 1.0

by mseeger - November 10, 2007, 22:23:52 CET [ Project Homepage BibTeX Download ] 4167 views, 872 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 [...]

Changes:

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 [...]

Changes:

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 [...]

Changes:

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 ] 4301 views, 926 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 [...]

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 ] 3122 views, 849 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.