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Pakket: timbl (6.4.13-1)

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Tilburg Memory Based Learner

Memory-Based Learning (MBL) is a machine-learning method applicable to a wide range of tasks in Natural Language Processing (NLP).

The Tilburg Memory Based Learner, TiMBL, is a tool for NLP research, and for many other domains where classification tasks are learned from examples. It is an efficient implementation of k-nearest neighbor classifier.

TiMBL's features are:

 * Fast, decision-tree-based implementation of k-nearest neighbor
 * Implementations of IB1 and IB2, IGTree, TRIBL, and TRIBL2 algorithms;
 * Similarity metrics: Overlap, MVDM, Jeffrey Divergence, Dot product, Cosine;
 * Feature weighting metrics: information gain, gain ratio, chi squared,
shared variance;
 * Distance weighting metrics: inverse, inverse linear, exponential decay;
 * Extensive verbosity options to inspect nearest neighbor sets;
 * Server functionality and extensive API;
 * Fast leave-one-out testing and internal cross-validation;
 * and Handles user-defined example weighting.

TiMBL is a product of the Centre of Language and Speech Technology (Radboud University, Nijmegen, The Netherlands), the ILK Research Group (Tilburg University, The Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).

If you do scientific research in NLP, timbl will likely be of use to you.

Tags: Implemented in: C++, Role: Program

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Pakket downloaden voor alle beschikbare platforms
Platform Pakketgrootte Geïnstalleerde grootte Bestanden
alpha (unofficial port) 82,2 kB168,0 kB [overzicht]
amd64 84,0 kB164,0 kB [overzicht]
arm64 81,5 kB156,0 kB [overzicht]
armel 78,9 kB143,0 kB [overzicht]
armhf 79,2 kB131,0 kB [overzicht]
hppa (unofficial port) 82,8 kB152,0 kB [overzicht]
hurd-i386 83,9 kB158,0 kB [overzicht]
i386 84,0 kB162,0 kB [overzicht]
kfreebsd-amd64 83,3 kB156,0 kB [overzicht]
kfreebsd-i386 84,1 kB158,0 kB [overzicht]
m68k (unofficial port) 81,3 kB158,0 kB [overzicht]
mips 80,6 kB160,0 kB [overzicht]
mips64el 80,7 kB162,0 kB [overzicht]
mipsel 80,9 kB160,0 kB [overzicht]
powerpcspe (unofficial port) 81,2 kB207,0 kB [overzicht]
ppc64 (unofficial port) 82,5 kB209,0 kB [overzicht]
ppc64el 82,6 kB207,0 kB [overzicht]
riscv64 (unofficial port) 82,4 kB148,0 kB [overzicht]
s390x 81,3 kB160,0 kB [overzicht]
sh4 (unofficial port) 83,9 kB142,0 kB [overzicht]
sparc64 (unofficial port) 79,8 kB163,0 kB [overzicht]
x32 (unofficial port) 82,6 kB155,0 kB [overzicht]