timbl 6.4.0-1ubuntu1 source package in Ubuntu
Changelog
timbl (6.4.0-1ubuntu1) oneiric; urgency=low * Fix ltmain.sh to not discard -fopenmp when linking. Closes: #632676. -- Matthias Klose <email address hidden> Mon, 29 Aug 2011 19:33:04 +0200
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Oneiric
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- science
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| timbl_6.4.0.orig.tar.gz | 512.7 KiB | 7524cff727ea3d8425a3bf740f8322681269fdc01fa09fc470d247dd17882b1d |
| timbl_6.4.0-1ubuntu1.debian.tar.gz | 6.8 KiB | f37e5617b86a93d8457a0187476cf88b2e8fe3e3dbdec0b03527b9c669352406 |
| timbl_6.4.0-1ubuntu1.dsc | 1.3 KiB | 4c5341c6788055fde47e26af2518df6e5b38af2fa0282ff2cd91a8b5fb5f82a7 |
Available diffs
- diff from 6.4.0-1 to 6.4.0-1ubuntu1 (1.2 KiB)
Binary packages built by this source
- libtimbl3: No summary available for libtimbl3 in ubuntu oneiric.
No description available for libtimbl3 in ubuntu oneiric.
- libtimbl3-dev: No summary available for libtimbl3-dev in ubuntu oneiric.
No description available for libtimbl3-dev in ubuntu oneiric.
- timbl: 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.
