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  glm-ie: The Generalised Linear Models Inference and Estimation Toolbox

Nickisch, H. (2012). glm-ie: The Generalised Linear Models Inference and Estimation Toolbox. Journal of Machine Learning Research, 13, 1699-1703.

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 Creators:
Nickisch, H1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: {The glm-ie toolbox contains scalable estimation routines for GLMs (generalised linear models) and SLMs (sparse linear models) as well as an implementation of a scalable convex variational Bayesian inference relaxation. We designed the glm-ie package to be simple, generic and easily expansible. Most of the code is written in Matlab including some The code is fully compatible to both Matlab 7.x and GNU Octave 3.3.x. Abstract Probabilistic classification, sparse linear modelling and logistic regression are covered in a common algorithmical framework.}

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 Dates: 2012-05
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: 6939
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Title: Journal of Machine Learning Research
Source Genre: Journal
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: 13 Sequence Number: - Start / End Page: 1699 - 1703 Identifier: -