Learning from Labeled and Unlabeled Data using Graph Mincuts
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
The Need for Open Source Software in Machine Learning
The Journal of Machine Learning Research
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Manifold Learning by Graduated Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ML-Flex: a flexible toolbox for performing classification analyses in parallel
The Journal of Machine Learning Research
DARWIN: a framework for machine learning and computer vision research and development
The Journal of Machine Learning Research
Tapkee: an efficient dimension reduction library
The Journal of Machine Learning Research
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We present a breadth-oriented collection of cross-platform command-line tools for researchers in machine learning called Waffles. The Waffles tools are designed to offer a broad spectrum of functionality in a manner that is friendly for scripted automation. All functionality is also available in a C++ class library. Waffles is available under the GNU Lesser General Public License.