About:
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.
Changes:
This release brings Cox's proportional hazards models and the partial Newton-Raphson learning algorithm. It also provides a reorganization of the (Hidden Conditional Random) Fields namespace, together with more bugfixes, improvements and optimizations.
For a complete list of changes, please see the full release notes at the release details page.
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- Operating System:
Linux,
Windows
- Data Formats:
Agnostic
- Tags:
Svm,
Kernel Methods,
Algorithms,
Classifiers,
Statistics,
Clustering Algorithm,
Probability Estimation,
Discriminant Analysis,
Wavelet Transform,
Principal Component Analysis,
Algebra,
Fourier
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