fre, 20 03 2009 kl. 19:27 +0100, skrev Levente Torok: > I am just wondering what if try to interface to GHMM from > http://www.ghmm.org/ > to have a HMM implementation in octave-forge. > In general I would like to see it as a first member of Pattern > Recognition package. > What do you think of it?
How general is GHMM? Does it support general Dynamic Bayes Networks? Does it support continuous hidden variables or only discrete ones? We have some HMM code in the 'statistics' package. I've never used so I don't really know how good it is. If GHMM only supports the standard (discrete hidden variables + discrete/Gaussian output) then I think we might as well implement it from scratch ourselves to avoid having a dependency, and avoid having to write wrappers (which might be a pain to maintain). If GHMM does more than the basic stuff then I can see that it might be relevant to wrap it. But that's just my thoughts, Søren ------------------------------------------------------------------------------ Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com _______________________________________________ Octave-dev mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/octave-dev
