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machine learning framework, Version 1.2

Mario Drobics
URL: http://www.unisoftwareplus.com/products/mlf/
Felix Kossak
Thomas Natschlager

2004 Wolfram Technology Conference
Conference location

Champaign IL

The machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis. Fuzzy logic is one of its key techniques. The framework allows for combining different machine learning algorithms to solve one single problem. This combination of distinct algorithms may give the user unforeseen insights into its data. The algorithms are highly parameterizeable. Given this parameterizeability combined with the efficient core engine of the machine learning framework for Mathematica, the user is able to look at his data with changed parameters in real time.

The machine learning framework for Mathematica combines
- an optimized computational kernelóthe core engineórealized in C++
- and the manipulation, descriptive programming, and graphical capabilities of Mathematica.

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

machine learning framework


TechConf04_Drobics_Slides.zip (1.1 MB) - ZIP archive