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49998 → 50007 of 76009 results First • • • Last
49998.
Install this package if you want to produce a lexer in Standard ML.
 
Description
(no translation yet)
Located in Package: ml-lex
49999.
SML/NJ language processing tools
 
Summary
(no translation yet)
Located in Package: ml-lpt
50000.
Tradition has it that when a new programming language is introduced, new scanner and parser generators are written in that language, and generate code for that language. Traditional also has it that the new tools are modeled after the old lex and yacc tools, both in terms of the algorithms used, and often the syntax as well. The language Standard ML is no exception: ml-lex and ml-yacc are the SML incarnations of the old Unix tools.
 
Description
(no translation yet)
Located in Package: ml-lpt
50001.
This package has two new tools, ml-ulex and ml-antlr, that follow tradition in separating scanning from parsing, but break from tradition in their implementation: ml-ulex is based on regular expression derivatives rather than subset-construction, and ml-antlr is based on LL(k) parsing rather than LALR(1) parsing.
 
Description
(no translation yet)
Located in Package: ml-lpt
50002.
ML generator for C glue code
 
Summary
(no translation yet)
Located in Package: ml-nlffigen
50003.
This tool reads in C source code and outputs ML code and a CM description file for use with the ML "No Longer Foreign Function Interface" library. This tool works by separating each top-level C declaration into a new ML source file. For large programs, this puts some strain on the SML Compilation Manager, but this should only marginally increase the program run-time.
 
Description
(no translation yet)
Located in Package: ml-nlffigen
50004.
Parser generator for Standard ML
 
Summary
(no translation yet)
Located in Package: ml-yacc
50005.
SML version of the yacc program, generates a parser for a LALR language. This package is useful for SML developers requiring a parser in their work.
 
Description
(no translation yet)
Located in Package: ml-yacc
50006.
Machine Learning Demos (MLDemos) with Visualization
 
Summary
MLDemos (Machine Learning Demos) avec visualisation
Translated by Michael Vogt
Located in Package: mldemos
50007.
A User-Friendly visualization toolkit for machine learning: MLDemos. Extensible architecture, contains modules for classification (gaussian mixture models, kernel methods such as support vector machines, nearest neighbor, kernel PCA, boosting, multilayer perceptrons, linear classifiers), clustering (gaussian mixtures, kernel methods, k-means), regression, etc.
 
Description
Il s’agit d’une boîte à outils conviviale de visualisation pour l’apprentissage automatique, MLDemos[nbsp]: architecture extensible, modules pour la classification (modèles de mélange gaussien, méthodes de noyau telles que la prise en charge de machines à vecteurs de support, méthodes des plus proches voisins, analyse en composantes principales de noyau [kernel PCA], de boosting, de perceptrons multicouches, de classifieurs linéaires), partitionnement des données (mélanges gaussiens, méthodes du noyau, k- moyennes), régression,[nbsp]etc.
Translated by Michael Vogt
Located in Package: mldemos
49998 → 50007 of 76009 results First • • • Last

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