2011/12/27 Nelle Varoquaux <[email protected]>: > VDHMMs are HMMs in which a state can emit a serie of observations. It seems > that the main application to these chains are speech recognition, and > handwriting recognition: fields in which we are trying to determine a state > to poorly segmented data. Would anyone know other applications than those > two ? I'm looking for easy test data, in order to illustrate the advantages > of VDHMMs compared to HMMs.
I hadn't heard of VDHMMs before, but from the description they seem rather much like the generative cousins of semi-Markov CRFs [1]. Those are advocated for e.g. named-entity recognition, which is really a segmentation task, rather than a labeling one (names commonly span multiple tokens). [1] www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ Write once. Port to many. Get the SDK and tools to simplify cross-platform app development. Create new or port existing apps to sell to consumers worldwide. Explore the Intel AppUpSM program developer opportunity. appdeveloper.intel.com/join http://p.sf.net/sfu/intel-appdev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
