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[ Paquet source : timbl  ]

Paquet : timbl (6.4.4-4)

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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 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.

Étiquettes: Mis en œuvre en: C++, Rôle: Programme

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Télécharger pour toutes les architectures proposées
Architecture Taille du paquet Espace occupé une fois installé Fichiers
amd64 88,5 ko135,0 ko [liste des fichiers]
armel 81,1 ko166,0 ko [liste des fichiers]
armhf 80,5 ko154,0 ko [liste des fichiers]
i386 83,6 ko174,0 ko [liste des fichiers]