On Monday 07 April 2008, Ted Dunning wrote: > > That is the simplest explanation of Gibb's sampling I have read so far :) > > Of *one*kind* of Gibb's sampling anyway. :)
So that is why it sounded almost to easy to be all there is about Gibb's sampling ;) > Yes. You still pass some parameters in via the prior and there is one > parameter that expressive how aggressive the algorithm is about thinking > there is another cluster it doesn't yet know about. Right. I remember that. I think that is still easier than fixing the number of clusters in advance. > The jury is still out on how well Gibb's sampling works for infinite > mixtures with text, but there are some very exciting early developments. > > See DCA and LDA and the later adaptations to non-parametric form in the > following references. > > http://cosco.hiit.fi/Articles/buntineBohinj.pdf > http://www.cs.princeton.edu/~blei/papers/BleiNgJordan2003.pdf I do remember these two. > http://citeseer.ist.psu.edu/756482.html > http://citeseer.ist.psu.edu/736109.html > http://citeseer.ist.psu.edu/756901.html Thanks for the additional pointers. > > I wonder whether one should split this thread into at least four threads: > > +10. Done. > The first and last might be the same unless somebody is interested in doing > a general purpose EM implementation. I have at least created an additional issue for a general purpose EM implementation so discussion on whether we want that or not can be tracked within JIRA. Isabel -- Flying is the second greatest feeling you can have. The greatest feeling?Landing... Landing is the greatest feeling you can have. |\ _,,,---,,_ Web: <http://www.isabel-drost.de> /,`.-'`' -. ;-;;,_ |,4- ) )-,_..;\ ( `'-' '---''(_/--' `-'\_) (fL) IM: <xmpp://[EMAIL PROTECTED]>
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