About: A Matlab benchmarking toolbox for online and adaptive regression with kernels.

• Changes in algorithms' Matlab class format
• New algorithms
• Minor improvements and bug fixes

About: A library of scalable Bayesian generalised linear models with fancy features

• 1.0 release!
• Now there is a random search phase before optimization of all hyperparameters in the regression algorithms. This improves the performance of revrand since local optima are more easily avoided with this improved initialisation
• Regression regularizers (weight variances) associated with each basis object, this approximates GP kernel addition more closely
• Random state can be set for all random objects
• Numerous small improvements to make revrand production ready
• Final report
• Documentation improvements

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

New in Version 0.9.8:

• bug fixes: svm file conversion works properly and is more general

• non-hierarchical multi-borders has 3 options for solving for the conditional probabilities: matrix inversion, voting, and matrix inversion over-ridden by voting, with re-normalization

• multi-borders now works with external binary classifiers

• random numbers resolve a tie when selecting classes based on probabilities

• pair of routines, sort_discrete_vectors and search_discrete_vectors, for classification based on n-d binning (still experimental)

• command options have been changed with many new additions, see QUICKSTART file or run the relevant commands for details