Software Announcement:
DeriveIt's Bayesian Network Modeler
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DeriveIt's Bayesian Network Modeler is not just another BN modeler.
Besides the standard inference (VE and CTP), learning capabilities
(EM learning, and structure learning), scoring functions (BIC,
log likelihood, Dirichlet priors), and probabilistic dependency,
DeriveIt will try to exploit the functional dependency in a Bayesian
network. Functional dependency can be from simple Noisy-MAX to a procedural
function in C++, and it provides scalability, stability and, we believe,
more real-world applications to Bayesian Networks.
DeriveIt's Bayesian Modeler is currently free, and available on all
(and only) Windows platforms.
For more information, download, examples, and tutorials, please visit:
http://www.deriveit.com
Lever Wang
Manager
DeriveIt, LLC.
One West Campbell Ave, K-59
Campbell, CA 95008, USA
Phone: +1 (408) 866 4600
Fax: +1 (928) 441 6427
