http://ebiquity.umbc.edu/blogger EBB is the ebiquity research group\\\'s blog at the University of Maryland, Baltimore County (UMBC). We focus on technologies that facilitate the design, implementation and control of distributed, intelligent information systems -- mobile and pervasive computing, ad hoc networking, multiagent systems, knowledge representation and reasoning, and the semantic web. As the tides of technology ebb and flow, we hope the good ideas wash up on our beach and the bad ones drift back out to sea. Fri, 20 Nov 2009 13:50:39 +0000 http://wordpress.org/?v=2.8.4 en hourly 1 http://ebiquity.umbc.edu/blogger/2008/10/12/smooth-an-efficient-method-for-probabilistic-knowledge-integration/ http://ebiquity.umbc.edu/blogger/2008/10/12/smooth-an-efficient-method-for-probabilistic-knowledge-integration/#comments Sun, 12 Oct 2008 20:25:58 +0000 Tim Finin http://ebiquity.umbc.edu/blogger/?p=1655 In this week’s ebiquity meeting (10:30am Tue Oct 14), PhD student Shenyong Zhang will present his recent work with Yun Peng on SMOOTY, a new efficient method for modifying a joint probability distribution to satisfy a set of inconsistent constraints. It extends the well-known “iterative proportional fitting procedure” (IPFP) which only works with consistent constraints. Compared to existing methods, SMOOTH is computationally more efficient and insensitive to data. Moreover, SMOOTH can be easily integrated with Bayesian networks for Bayesian reasoning with inconsistent constraints. A paper on this work, An Efficient Method for Probabilistic Knowledge Integration will apear in the proceedings of The 20th IEEE International Conference on Tools with Artificial Intelligence next month.

]]> http://ebiquity.umbc.edu/blogger/2008/10/12/smooth-an-efficient-method-for-probabilistic-knowledge-integration/feed/ 0