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Java Machine Learning Library
Details
| Last Update: | 2008-01-31 05:01:11 |
| Version: | 0.0.14 |
| License/Program Type: | GPL (GNU General Public License) |
| Publisher: | Thomas Abeel |
| Price: | $0.00 |
Java Machine Learning Library is a set of reference
implementations of machine learning algorithms. These algorithms
are well documented, both in the source code as on the
documentation site.
Along with real machine learning algorithms, many supporting
algorithms are provided: distance measures, evaluation criteria,
data sets for validation purposes, and some sample code.
What's New in This Release:
· This release is a major upgrade from the previous
version. Many optimizations and tweaks have been made to the core
of the library. We have updated many of the existing algorithms
with more documentation and a more logical structure. We have also
implemented numerous new algorithsm for measuring distances and
correlations, filtering datasets, feature selection and
classification. New feature selection algorithms: Gain Ratio
Symmetrical Uncertainty Random Forest features evaluation
RELIEF Recursive feature elimination with support vector machines
Meta feature selection algorithms for ensemble feature selection
New classification algorithms: LibSVM support vector machines K
nearest neighbors Random Forest Random tree New correlation and
distance measures: Spearman rank correlation Tanimoto
distance
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Java Machine Learning Library Version History
| Product | Date Added |
|---|---|
| Java Machine Learning Library 0.0.14 | 2008-01-31 05:01:11 |
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