> New objects/additions V 1.6
> New objects implemented:
> - dualperceptron - Kernel Perceptron
> - ord_reg_perceptron - Ordinal Regression Perceptron (Shen et al.)
> - splitting_perceptron - Splitting Perceptron (Shen et al.)
> - budget_perceptron - Aggressive Perceptron, i.e. online & sparse, on a budget (Crammer et al.)
> - pmg_mds - Pre-image with multi-dimensional scaling
> - pmg_rr - Pre-image by regression
> - rsc_burges - Reduced set via gradient descent
> - rsc_fp - Reduced set via fixed-point methods for RBF kernel
> - rsc_mds - Reduced set via multi-dimensional scaling
> - rsc_learn - Reduced Set via learning
> Small additions / bug fixes / issues:
> - changed myexist() function - loses some (rare) functionality but fixed a huge slowdown on some systems caused by searching to see if filenames exist
> - fixed isdeferred() problem - can now do e.g. train(toy) again
> - fixed bug in multi-class @fisher algorithm (by Kiyoung Yang)
> - r2w2_sel - now works with RBF kernels (thanks to Chirag Patel)
> - added two new kernels: triangular and linear with bias