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[ Kaynak: timbl  ]

Paket: 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
classification;
 * 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.

Etiketler: Geliştirildiği dil: C++, Rol: Program

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Tüm mevcut mimariler için indir
Mimari Paket Boyutu Kurulu Boyut Dosyalar
amd64 84,0 kB164,0 kB [dosya listesi]
arm64 81,5 kB156,0 kB [dosya listesi]
armel 78,9 kB143,0 kB [dosya listesi]
armhf 79,2 kB131,0 kB [dosya listesi]
i386 84,0 kB162,0 kB [dosya listesi]
mips 80,6 kB160,0 kB [dosya listesi]
mips64el 80,7 kB162,0 kB [dosya listesi]
mipsel 80,9 kB160,0 kB [dosya listesi]
ppc64el 82,6 kB207,0 kB [dosya listesi]
s390x 81,3 kB160,0 kB [dosya listesi]