Rule-based expert systems must deal with uncertain data, subjective expert opinions, and inaccurate decision rules. Computer scientists and psychologists have proposed and implemented a number of belief and new insights into theu Bayesian interpretations are presented In particular, the authors focus on three alternative belief-update models the certainty factors calculus, Dempster-Shafer simpl...

8 Adequate characterization of depositional architecture is of great importance when 9 studying fluvial outcrops as reservoir analogs. The complex three-dimensional (3D) 10 distribution and lateral/vertical relationships of sandstone bodies require a high degree of 11 stratigraphic control in order to make a proper assessment of the distribution and connectivity 12 of the reservoir facies. This...

Prof. Chandra Murthy (ECE, IISc Bengaluru) (Tutorial) Title: The surprising effectiveness of hierarchical Bayesian methods for sparse signal recovery Abstract: Hierarchical Bayesian methods have been empirically shown to significantly outperform their more conventional convex relaxation and greedy optimization based counterparts in several scenarios. In this talk, we will focus on the multiple ...

This paper presents the foundational ideas for a new way of modeling social aggregation. Traditional approaches have been using network theory, and the theory of random networks. Under that paradigm, every social agent is represented by a node, and every social interaction is represented by a segment connecting two nodes. Early work in family interactions, as well as more recent work in the stu...