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TiMBL (Tilburg Memory-Based Learner) is a machine learning program implementing a family of Memory-Based Learning techniques. TiMBL stores a representation of the training set explicitly in memory (hence `Memory Based'), and classifies new cases by extrapolating from the most similar stored cases. Signed-off-by: Adam Vandenberg <flangy@gmail.com> |
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