New Release GPstuff v4.1

[Aki Vehtari]

Oops, delayed relaese announcement.

2013-04-24 Version 4.1

New features:

Multinomial probit classification with nested-EP. Jaakko Riihim�ki, Pasi
Jyl�nki and Aki Vehtari (2013). Nested Expectation Propagation for Gaussian
Process Classification with a Multinomial Probit Likelihood. Journal of Machine
Learning Research 14:75-109, 2013.
Marginal posterior corrections for latent values. Cseke & Heskes (2011).
Approximate Marginals in Latent Gaussian Models. Journal of Machine Learning
Research 12 (2011), 417-454
Laplace: cm2 and fact
EP: fact
Improvements

lgpdens ignores now NaNs instead of giving error
gp_cpred has a new option 'target' accpeting values 'f' or 'mu'
unified gp_waic and gp_dic
by default return mlpd
option 'form' accetps now values 'mean' 'all' 'sum' and 'dic'
improved survival demo demo_survival_aft (accalerated failure time)
renamed and improved from demo_survival_weibull
rearranged some files to more logical directories
bug fixes
New files

gp_predcm: marginal posterior corrections for latent values.
demo_improvedmarginals: demonstration of marginal posterior corrections
demo_improvedmarginals2: demonstration of marginal posterior corrections
lik_multinomprobit: multinomial probit likelihood
demo_multiclass_nested_ep: demonstration of nested EP with multinomprobit