Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual mdnprob Daniel@0: Daniel@0: Daniel@0: Daniel@0:

mdnprob Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Computes the data probability likelihood for an MDN mixture structure. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

Daniel@0: 
Daniel@0: prob = mdnprob(mixparams, t)
Daniel@0: [prob, a] = mdnprob(mixparams, t)
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Daniel@0: Description Daniel@0:

Daniel@0: prob = mdnprob(mixparams, t) computes the probability p(t) of each Daniel@0: data vector in t under the Gaussian mixture model represented by the Daniel@0: corresponding entries in mixparams. Each row of t represents a Daniel@0: single vector. Daniel@0: Daniel@0:

[prob, a] = mdnprob(mixparams, t) also computes the activations Daniel@0: a (i.e. the probability p(t|j) of the data conditioned on Daniel@0: each component density) for a Gaussian mixture model. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: mdnerr, mdnpost
Daniel@0: Pages: Daniel@0: Index Daniel@0:
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Copyright (c) Ian T Nabney (1996-9) Daniel@0:

David J Evans (1998) Daniel@0: Daniel@0: Daniel@0: