Publisher's Description
From Cesar Souza:
Accord.NET is a framework for scientific computing in .NET. The framework builds upon AForge.NET, and also popular framework for image processing, supplying new tools, and libraries. Those libraries encompass a wide range of scientific computing applications, such as statistical data processing, machine learning, pattern recognition, and computer vision and computer audition. The framework offers a large number of probability distributions, hypothesis tests, kernel functions, and support for performance measurements techniques.
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| Category | |
|---|---|
| Category | Developer Tools |
| Subcategory | Components & Libraries |
