Search Results for "java machine learning library" - Page 24

Scidoc N6 is a platform for collaborative research and learning based on Semantic Web standards like RDF and OWL. It supports dynamically evolving conecpt models as a foundation for various kinds of information systems.

Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.

GenP Genetic Programming Library is a cross-platform library of genetic programming functions for generic application. Initially it's purpose is for machine learning in board games but should be applicable to any purpose.

The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.

UnBFuzzy is an API for fuzzy-logic and learning algorithms for fuzzy systems.

Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy.

Spec is a voice control based on the libraries of Sphinx-4.

Cinefile is a prototype of a category-based method of database exploration. It allows the user to identify abstract categories of films by providing examples of category members, learns to classify films as belonging or not belonging to those categories, and provides a graphical interface for exploring and comparing categories. Cinefile is designed to work with data retrieved from the Internet Movie Database (imdb.com). This data is used for classification and is the subject of the...

LATINO stands for Link analysis and text mining toolbox. It is a software library providing a range of data mining and machine learning algorithms with the emphasis on text mining, link analysis, and data visualization.

Supertagging is a process of statistical lexical disambiguation, preprocessing step to parsing, which assigns LTAG tree categories to the lexical items present in the input sentence. Thus, if the input sentence is in the form of a dependency tree, the task of the supertagger is to assign the most probable TAG family to each node and edge in the dependency tree.

A gui based man against machine poker (texas hold them) end user application which will deduce and adapt to the player's strategy.