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Accord.NET provides statistical analysis, machine learning, image processing, and computer vision methods for .NET applications. The Accord.NET Framework extends the popular AForge.NET with new features, adding to a more complete environment for scientific computing in .NET.

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2010-11-04 02:10 Back to release list
2.1.3

Se hicieron grandes mejoras en la documentación. El marco cuenta con el apoyo continuo de la densidad de Modelos Ocultos de Markov, mezclas de Gauss y factorización de matriz no-negativas.
Great improvements were made to the documentation. The framework now has support for Continuous density Hidden Markov Models, Gaussian Mixtures, and Non-negative Matrix Factorization.

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