» Bayesian Logistic Regression Software

See full content »

Resource type:

Machine Learning y Data Mining Software

Description:

This software implements Bayesian Logistic Regression with two options: Gaussian and Laplace (also known as double exponential). Free for non-commercial use. Available for Windows and Linux

Resource link:

» Bayesian Multinomial Regression Software

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

This software implements Bayesian Multinomial Logistic Regression. Free for non-commercial use. Available for Windows and Linux

Resource link:

» BoosTexter

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Text classifier based on boosting. It can handle: Multiple attributes that can be textual, discrete or continuous, data with missing attributes, multiclass problems and large clean sets of data. Free license for non-commercial use only.

Resource link:

» Email SPAM ENRON Corpus

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Spam filter with Naive Bayes

Related links:

» FOIL

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

First Order Inductive Learner. Used to generate Rating Classification Association rules (CARs). Max three attributes in the antecedent of a rule

Resource link:

» GALib

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

C++ library to develop applications based on genetic algorithms. For Linux, MacOS and DOS/Windows. GPL License

Resource link:

» JBNC

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Toolkit for developing classifiers based on Bayesian networks. Classifiers: Naive Bayes, TAN, FAN, STAN, STAND, SFAN. GPL License

Resource link:

» KEA

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Phrases and keywords extractor. Large collections of documents. Implemented in Java, platform independent. GPL License

Resource link:

» LVQ_PAK

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Package that contains the programs necessary for the proper use of LVQ. Implementation of LVQ neural network, which uses both supervised and unsupervised learning for pattern classification. For Windows and Unix. unknown License

Resource link:

» MLC++

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

C++ library for supervised machine learning. The main objective is to provide tools that can help data, accelerate the development of new mining algorithms, increasing software reliability, provide comparison tools and display information visually. Free license for non-commercial use only

Resource link:

» MySVM

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Implementation of Support Vector Machines. Used for pattern recognition, regression and estimation. For Windows and Unix. Free for non-commercial use

Resource link:

» RapidMiner

See full content »

Resource type:

Machine Learning y Data Mining Software

Description:

Software for Data Mining and Visualization. GPL license, the non-free version (though free) adds Eclipse-based graphical interface. Previously known as YALE. Available for Windows and Linux (written in Java)

Resource link:

» SOM_PAK

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Software package for kohonen Self Organizing Maps. Implementation of the Kohonen algorithm, used for different applications: clustering, visualization, classification, interpolation function, vector quantization … For Windows and Unix. Unknown License

Resource link:

» SVM-Light

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Classifier based on Support Vector Machines. Implemented in C. Free for scientific use

Resource link:

» TextGarden

See full content »

Resource type:

Machine Learning and Data Mining Software

Description:

Set of software tools for supervised and unsupervised classification, web mining, visualization, etc.. Written in C++, running on Windows and GNU / Linux via Wine. License undetermined, freely usable for research

Resource link: