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>
