Registered 2013-02-05 by Bradley Block

Implementation of a linear Markov chain Conditional Random Field (CRF) model trained using gradient tree boosting.

This is a Java implementation of the algorithm and methods described in:

Gradient Tree Boosting for Training Conditional Random Fields
Thomas G. Dietterich, Guohua Hao, and Adam Ashenfelter
Journal of Machine Learning Research (JMLR).

Another implementation in C++ by the paper authors Guohua Hao and Thomas G. Dietterich can be found at:

http://haoguohua.com/software/treecrf/treecrf-v1.0.tgz

Other projects include:

Fully Personalized PageRank
https://launchpad.net/jfppr

Transformed Weight-normalized Complement Naive Bayes classifier
https://launchpad.net/jtwcnb

Gradient Boosted Trees for Classification and Regression
https://launchpad.net/jgbtcr

Clustering algorithms
https://launchpad.net/jclust

Project information

Maintainer:
Bradley Block
Driver:
Bradley Block
Licence:
GNU GPL v3

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Version control system:
Bazaar
Programming languages:
Java

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released on 2013-02-07

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