[pymvpa] Interesting approach

Yaroslav Halchenko debian at onerussian.com
Sun Aug 10 16:54:17 UTC 2008

Hi All,

I know it is summer but we don't have to keep our mailing list at rest

I just had a look at mloss and ran into

which sounds quite interesting in terms of application to neuroimaging
data and especially since Per said about his interest to use PLS.

though authors on the webpage say:
| WPR is particularly suited for the following regression problems:
| There are large amounts of training data. If you desire good generalization
| from only relatively few samples (say, less than 2000), you are probably better
| off with Gaussian Processes  (GP).
| Your application requires incremental, online training. If you can afford
| to collect the data beforehand, and the time required for batch learning is not
| critical, LWPR loses its edge against SVM regression, or (Sparse) GP
| regression.

those 2 points confirm that we have used the right tools so far ;-) but
who knows what would happen if LWPR is applied on ROIs...

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