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Vitor Santos Costa ac34be01b0 support for randomising or making uniform all distributions before starting EM		2008-11-01 21:09:08 +00:00
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examples	more CLP(BN) fixes, add softening option when computing MLE estimators.	2008-10-31 15:11:27 +00:00
aggregates.yap	new implementation of aggregates, using matrices.	2008-10-29 20:50:21 +00:00
bnt.yap	new version of CLP(BN) with EM learning	2008-10-22 00:44:02 +01:00
connected.yap	fix bad variable passing	2008-11-01 11:47:56 +00:00
discrete_utils.yap	CLP(BN) fixes	2008-02-13 11:57:46 +00:00
display.yap	new version of CLP(BN) with EM learning	2008-10-22 00:44:02 +01:00
dists.yap	support for randomising or making uniform all distributions before starting EM	2008-11-01 21:09:08 +00:00
evidence.yap	make sure that we always consider evidence.	2008-10-29 20:54:15 +00:00
gibbs.yap	small interface fixes, use influences	2008-11-01 11:51:36 +00:00
graphs.yap	CLP(BN) fixes	2008-02-13 11:57:46 +00:00
graphviz.yap	encapsulate access to distribution, so that they are not stored in the	2007-07-13 00:52:54 +00:00
hmm.yap	new version of viterbi implementation	2007-10-28 00:54:09 +00:00
jt.yap	new interface to display	2008-10-29 18:24:50 +00:00
matrix_cpt_utils.yap	support for randomising or making uniform all distributions before starting EM	2008-11-01 21:09:08 +00:00
topsort.yap	make sure we include every vertex.	2008-10-31 14:10:57 +00:00
utils.yap	encapsulate access to distribution, so that they are not stored in the	2007-07-13 00:52:54 +00:00
vel.yap	use influences	2008-11-01 11:52:10 +00:00
viterbi.yap	improve JT	2007-12-05 12:17:25 +00:00
xbif.yap	encapsulate access to distribution, so that they are not stored in the	2007-07-13 00:52:54 +00:00