套件： dimbl (0.11-1)
- 主頁 [ilk.uvt.nl]
Distributed Memory Based Learner
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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