RSS Feed - Blog
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.
|
cesarsouza has
posted 1 project.
Search
Manage
Sort by
Filter by
Latest Thoughts
- GSoC 2013
by Cheng Soon Ong on April 9, 2013
- Scientist vs Inventor
by Cheng Soon Ong on March 18, 2013
- Software Licensing
by Cheng Soon Ong on February 6, 2013
- Chemical compound and drug name recognition task.
by Martin Krallinger on January 2, 2013
- Paper "Ten Simple Rules for the Open Development of Scientific Software" by Prlic and Procter
by Mikio Braun on December 11, 2012
- Best Practices for Scientific Computing
by Cheng Soon Ong on November 28, 2012
- Predict Elections with Twitter
by Cheng Soon Ong on October 12, 2012
- John Hunter - the author of matplotlib - has died.
by Soeren Sonnenburg on August 30, 2012
- Machine Learning already matters
by Cheng Soon Ong on June 20, 2012
- Google Summer of Code 2012
by Cheng Soon Ong on April 24, 2012
No forum yet.
