diff toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/old.water1.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/old.water1.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,48 @@
+% Compare the speeds of various inference engines on the water DBN
+
+[bnet, onodes] = mk_water_dbn;
+
+T = 3;
+
+engine = {};
+engine{end+1} = jtree_unrolled_dbn_inf_engine(bnet, T, onodes);
+engine{end+1} = hmm_inf_engine(bnet, onodes);
+engine{end+1} = frontier_inf_engine(bnet, onodes);
+engine{end+1} = jtree_dbn_inf_engine(bnet, onodes);
+engine{end+1} = bk_inf_engine(bnet, 'exact', onodes);
+
+engine{end+1} = bk_inf_engine(bnet, 'ff', onodes);
+engine{end+1} = bk_inf_engine(bnet, { [1 2], [3 4 5 6], [7 8] }, onodes);
+
+N = length(engine);
+exact = 1:5;
+
+
+filter = 0;
+err = cmp_inference(bnet, onodes, engine, exact, T, filter);
+
+% elapsed times for enter_evidence  (matlab 5.3 on PIII with 256MB running Redhat linux)  
+
+% T = 5, 4/20/00
+%     0.6266 unrolled *
+%     0.3490 hmm *
+%     1.1743 frontier
+%     1.4621 old frontier
+%     0.3270 fast frontier *
+%     1.3926 jtree 
+%     1.3790 bk 
+%     0.4916 fast bk
+%     0.4190 fast bk compiled
+%     0.3574 fast jtree *
+
+
+err = cmp_learning(bnet, onodes, engine, exact, T);
+
+% elapsed times for learn_params_dbn_em (matlab 5.3 on PIII with 256MB running Redhat linux)  
+
+% T = 5, 2cases, 2 iter, 4/20/00
+% 3.5750 unrolled
+% 3.7475 hmm
+% 2.1452 fast frontier
+% 2.5724 fast bk compiled
+% 2.3387 fast jtree