About: A Matlab script for learning vector-valued functions and kernels on the output space.

Added code for learning low-rank output kernels.

About: RLS2 is an instance of multiple kernel learning algorithm to simultaneously learn a regularized predictor and the kernel function. RLS2LIN is a version of RLS2 specialized to linear kernels on each feature. The package contains a set of scripts that implements RLS2 and RLS2LIN, together with a Graphic User Interface to load data, perform training, validation, and plot results.

• New kernel functions (rbfall, rbfsingle, polyall, polysingle)
• Improved interface for pre-processing operations
• The interface now allows to disable bias
• Fixed bugs in parameter passing (thanks to Andrea Schirru)