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.Upload more screenshots
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Homepage
https://github.com/LanguageMachines/dimbl
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