About: C++ software for statistical classification, probability estimation and interpolation/non-linear regression using variable bandwidth kernel estimation.

New in Version 0.9.6:

• Many, many bug fixes. Thanks to all who submitted bug reports!

• New Bash script to validate probability density function (PDF) calculations: validate_pdf.sh

• New command for generating a simulated data set with approximately the same PDF as the training data: pdf_sim . Used by validate_pdf.sh

• New file utility that randomly splits up a dataset into two or more divisions: agf_split_data . Also used by validate_pdf.sh

• New command generates the Relative Operating Characteristic (ROC) curve: roc_curve

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.

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.

About: Matlab code for learning probabilistic SVM in the presence of uncertain labels.

Added missing dataset function (thanks to Hao Wu)

About: Tools for functional network analysis.

Initial Announcement on mloss.org.