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Title

machine learning framework
Author

uni software plus GmbH
Organization: uni software plus GmbH
URL: http://www.unisoftwareplus.com
Description

The Mathematica application package machine learning framework is a multimethod system for creating understandable computational models from data. It integrates computationally optimized methods for all types of data mining and machine learning applications implemented in C++ and then integrated into Mathematica.

This program is a complete solution for business and financial engineers, process and manufacturing engineers, quality assurance professionals, and all experts who want to extract computational models and knowledge from data. Knowledge engineers and machine learning experts can use machine learning framework to customize and configure machine learning solutions and to search for quick modeling capabilities, prediction, and control of input-output relations.
Subject

*Mathematica Technology > Application Packages > Applications from Independent Developers > machine learning framework
Keywords

uni software plus, machine learning framework, mathematica, computational models, data analysis, fuzzy logic, machine, learning, learning methods, learning algorithms, supervised analysis, decision trees, fs-id3, rule induction, fs-foil, foil method, fs-miner, numerical optimization, fuzzy rules, unsupervised analysis, self-organizing maps, clustering, fuzzy sets, forecasting, classification, logical inference
Related items

*machine learning framework: Approximation   [in MathSource: Packages and Programs]
*machine learning framework: Supervised Analysis   [in MathSource: Packages and Programs]
*machine learning framework: Unsupervised Analysis   [in MathSource: Packages and Programs]
URL

http://www.wolfram.com/products/applications/mlf