dimbl

Distributed Memory Based Learner

Description

Dimbl is a wrapper around the k-nearest neighbor classifier in TiMBL, offering parallel classification on multi-CPU machines. Dimbl splits the original training set, builds separate TiMBL classifiers per training subset, and merges their nearest-neighbor sets per classified instance

Dimbl's features are:
 * Wraps neatly around TiMBL, retaining all command line options;
 * Knows what to do with your multiple, duo, or quad cores;
 * Makes use of the OpenMP specification for parallel programming;
 * Can attain superlinear speed gains compared to standard TiMBL.

Dimbl is a product of the ILK Research Group (Tilburg University, The Netherlands).

If you do scientific research in Natural Language Processing using the Memory-Based Learning technique, Dimbl will likely be of use to you.

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Homepage

http://ilk.uvt.nl/dimbl/


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