How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
We propose a content-based information retrieval (CBIR) method that models known relationships between multimedia objects as a hierarchical tree-structure incorporating additional ...
Multi-level TAM optimization is necessary for modular testing of hierarchical SOCs that contain older-generation SOCs as embedded cores. We present two hierarchical TAM optimizati...
Vikram Iyengar, Krishnendu Chakrabarty, Mark D. Kr...