BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 42 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/general/compute_interface_nodes.m b/sourcecodes/bnt-master/BNT/general/compute_interface_nodes.m
new file mode 100644
index 00000000..43370172
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/general/compute_interface_nodes.m
@@ -0,0 +1,42 @@
+function [interface, persist, transient] = compute_interface_nodes(intra, inter)
+% COMPUTE_INTERFACE_NODES Find the nodes in a DBN that represent a sufficient statistic
+% [interface, persist, transient] = compute_interface_nodes(intra, inter)
+%
+% The interface nodes are all those that has an incoming temporal arc,
+% or which are parents of such nodes.
+% If the parents are in the previous slice, this just means they have an
+% outgoing temporal arc.
+% (The parents of nodes with incoming temporal arcs are needed
+% because moralization will bring them into the clique.)
+%
+% The persisent nodes are all those that have one or more incoming temporal arc.
+% The transient nodes are all the non-persistent.
+%
+% See U. Kjaerulff, "dHugin: A computational system for dynamic
+% time-sliced Bayesian networks", Intl. J. Forecasting (11) 89-111, 1995
+
+n = length(intra);
+interface = [];
+persist = [];
+% any nodes with incoming arcs
+for u=1:n
+  if any(inter(:,u))
+    interface = [interface u];
+    persist = [persist u];
+  end
+end
+% Any nodes which are parents of nodes with incoming arcs
+for u=1:n
+  cs = children(intra, u);
+  if any(inter(:, cs))
+    interface = [interface u];
+  end
+  %cs = children(inter, u);
+  % if ~isempty(myintersect(cs, persist))
+  %  interface = [interface u];
+  %end
+end
+interface = unique(interface);
+persist = unique(persist);
+transient = mysetdiff(1:n, persist);
+