16 September 2016
Subjective Bayesian Networks
DATE: Friday 16 September 2016. 14:00h
LOCATION: Level 9 meeting room (room 9460), Ole Johan Dahl's House. (take lift D to level 9, call 98431433 if door is locked)
14:00h Welcome at IFI
14:15h Talk: Efficient Subjective Bayesian Network Belief Propagation for Trees
Presentation slides: Subjective Bayesian Networks
SPEAKER: Lance Kaplan, US Army Research Laboratory
ABSTRACT: Subjective Bayesian networks extend Bayesian networks by incorporating uncertainty in the conditional probabilities. This paper develops subjective belief propagation (SBP) that extends regular belief propagation (BP) to efficiently infer uncertain marginal probabilities in subjective Bayesian networks. It is shown that SBP's runtime exhibits only slightly slower performance than standard BP but is able to effectively characterize a distribution for the marginals. Simulations affirm that unlike the valuation-based system, a previous uncertain probabilistic reasoning framework, SBP is able to effectively capture bounds for the actual error in a consistent manner.
SPEAKER BIO: Lance M. Kaplan received the B.S. degree with distinction from Duke University, Durham, NC, in 1989 and the M.S. and Ph.D. degrees from the University of Southern California, Los Angeles, in 1991and 1994, respectively, all in Electrical Engineering. From 1987–1990, Dr. Kaplan worked as a Technical Assistant at the Georgia Tech Research Institute. He held a National Science Foundation Graduate Fellowship and a USC Dean’s Merit Fellowship from 1990–1993, and worked as a Research Assistant in the Signal and Image Processing Institute at the University of Southern California from 1993–1994. Then, he worked on staff in the Reconnaissance Systems Department of the Hughes Aircraft Company from 1994–1996. From 1996–2004, he was a member of the faculty in the Department of Engineering and a senior investigator in the Center of Theoretical Studies of Physical Systems (CTSPS) at Clark Atlanta University (CAU), Atlanta, GA. Currently, he is a researcher in the Networked Sensing and Fusion branch of the U.S Army Research Laboratory (ARL). Dr. Kaplan serves as Editor-In-Chief for the IEEE Transactions on Aerospace and Electronic Systems (AES) and as VP of Conferences for the International Society of Information Fusion (ISIF). Previously, he served on the Board of Governors of the IEEE AES Society (2008-2013) and on the Board of Directors of ISIF (2012-2014). He is a three time recipient of the Clark Atlanta University Electrical Engineering Instructional Excellence Award from 1999–2001. He is a Fellow of IEEE and of ARL. His current research interests include signal and image processing, information/data fusion, network science and resource management.