timbl_6.3.2-3_amd64.changes is NEW

[Debian FTP Masters]

(new) libtimbl3-dev_6.3.2-3_amd64.deb optional libdevel
Tilburg Memory Based Learner - development
 The Tilburg Memory Based Learner, TiMBL, is a tool for Natural Language
 Processing research, and for many other domains where classification tasks are
 learned from examples.  It is an efficient implementation of k-nearest neighbor
 classifier.
 .
 TiMBL is a product of the ILK Research Group (Tilburg University, The
 Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
 .
 This package provides the TiMBL header files required to compile C++ programs
 that use TiMBL.
(new) libtimbl3_6.3.2-3_amd64.deb optional libs
Tilburg Memory Based Learner - runtime
 The Tilburg Memory Based Learner, TiMBL, is a tool for Natural Language
 Processing research, and for many other domains where classification tasks are
 learned from examples.  It is an efficient implementation of k-nearest neighbor
 classifier.
 .
 TiMBL is a product of the ILK Research Group (Tilburg University, The
 Netherlands) and the CLiPS Research Centre (University of Antwerp, Belgium).
 .
 This package provides the runtime files required to run programs that use
 TiMBL.
(new) timbl_6.3.2-3.debian.tar.gz optional science
(new) timbl_6.3.2-3.dsc optional science
(new) timbl_6.3.2-3_amd64.deb optional science
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.
Changes: timbl (6.3.2-3) unstable; urgency=low
 .
  * debian/copyright: completed (info on some autoconf macro files was
    missing). Thanks Charles Plessy.
 .
timbl (6.3.2-2) unstable; urgency=low
 .
  * control: Add pkg-config to build-depends, thanks Kurt Roeckx.
  * control: Enhance layout of description, thanks Kurt Roeckx.
  * README.devel: removed since obsolete.
 .
timbl (6.3.2-1) unstable; urgency=low
 .
  * New upstream release.
  * source/format: added.
  * copyright, control: CNTS is now called CLiPS.  Thanks Antal van den
    Bosch.
 .
timbl (6.3.1-3) unstable; urgency=low
 .
  * First upload to Debian archive (Closes: #605913).
  * watch: added.
  * copyright: now in machine-readable format.
  * control: add libxml2-dev to Build-Depends.


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