dear colleagues,
due to technical problems the following paper
T.Kocka and R.Castelo
'Improved Learning of Bayesian Networks'
published in this last year's UAI conference proceedings had
all plots printed wrongly.
we thank the organisers for providing quickly an errata page
at the conference, but we would like to warn those of you that
did not attend the conference that the plots in the proceedings
are not right (there are lines missing).
for that reason we let you know that you can download the
pdf, .ps or .ps zipped version of the paper (where the plots
are fine) through the following urls:
http://www.cs.uu.nl/~roberto/uai2k1.pdf
http://www.cs.uu.nl/~roberto/uai2k1.ps
http://www.cs.uu.nl/~roberto/uai2k1.zip
the paper introduces a new and simple learning policy for
Bayesian Networks, and shows, among other things, that can
recover the Alarm network perfectly in about 50 local
transformations of the empty DAG (taking about 2 minutes in
a current PC) using a hill-climber without any causal
ordering.
thanks,
robert castelo & tomas kocka.
This archive was generated by hypermail 2b29 : Wed Oct 10 2001 - 19:06:39 PDT