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PROMI is a Platform for the Reuse of Ontologies through Merging and Integration. It imports ontologies represented as OWL, RDF(S), DDL, DTD and XML schemas and incrementally merges their contents using various matching algorithms.
treecat is a simple, interactive tool that helps you classify files or database entries into an arbitrary category tree. Items are automatically classified within a taxonomy quickly and accurately, requiring single key confirmation or correction.
This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.
Italian labeled digits corpus, good for speech recognition.
Corpus di cifre italiane segmentato, adatto a esperimenti di riconoscimento vocale e riconoscimento fonetico.
PARASOL is a C library for implementing computer-system simulations.
PARASOL is a C library for implementing simulations of computer systems. It supports a simulated, user-configured, multiprocessor environment on which user-written software (in C or C++) is executed.
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Webmine is software tool that uses the Google Web api to generate a set of similar terms from a given seed term and identifies most probable category for the set.
SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.
clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
Banyan is an enterprise class, web based, information management system that helps people work collaboratively to solve complex problems. Banyan increases project performance and reduces risk through the power of collaborative clear thinking.
MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.
Mcube is designed to solve 4x4x4 Rubiks Cubes (AKA, Rubiks Revenge, AKA, Master Cube). It is multiplatform, and has both console and graphical support.
PROJECT IS BEING DEVELOPED UNDER A DIFFERENT NAME: Please visit http://sourceforge.net/projects/modelbuilder/ Datamodeler gives scientists and engineers the possiblity to find any multivariate model for any dataset, how complex or large both may be.
This software make stats about countries in Hattrick (http://hattrick.org). About all the leagues and generate the results in a excel file. Its very easy to use, and written in Java.
A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
JMiner is a (not yet!) complete data mining and artificial intelligence solution written in Java. Support for neural networks, genetic algorithms/programming, decision trees, clustering, market basket analysis, link analysis, data cleansing, and others.