Description: Maximum entropy models are very popular, especially in natural language processing. The software here is an implementation of maximum likelihood and maximum a posterior optimization of the parameters of these models. The algorithms used are much more efficient than the iterative scaling techniques used in almost every other maxent package out there.
- [wiener] - Wiener filter c language, can be used to
- [me2svm] - of maximum entropy data formats SVM clas
- [amis-2.95] - Amis-A maximum entropy estimator a maxim
- [SentenceMatching] - Natural language processing sentence-mat
- [LPRsystem] - License Plate Recognition using matlab t
- [LexicalAnalysis] - Natural language processing in the lexic
- [tfidf] - Information seized by the books, a colle
- [BayesianMAP] - Bayesian based Maximum A Posterior . It
- [zhangle] - Zhang Le maximum entropy toolkit command
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YASMETFS.tar
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