New objects/additions V 1.5

We have added small (usually one or two line) code examples to almost every algorithm's Matlab help page. We have also added references for algorithms, complete with web links. Hopefully it is a little easier to see how to use an algorithm now. We also added new sections to the tutorial: on multi-class classification, feature selection and working with unbalanced data to name a few.

We also have the following new objects implemented:

mksvm - multi kernel Linear Programming-SVM

mrank - manifold ranking

kvq - kernel vector quantization

bayessel - Bayesian model selection for SVM/SVR

toy2d - Simple two-dimensional toy problem generator

toyreg - - Linear Regression with o outputs and n inputs

spiral - Simple two-dimensional spiral problem generator

ppca - Probabilistic PCA

adaboost - Adaboost

lgzc - Local and Global Consistent Learner

rank_perceptron - general input / output mapping with joint kernels