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UAI
2004
13 years 10 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
TVLSI
2008
187views more  TVLSI 2008»
13 years 8 months ago
A Design Flow for Architecture Exploration and Implementation of Partially Reconfigurable Processors
During the last years, the growing application complexity, design, and mask costs have compelled embedded system designers to increasingly consider partially reconfigurable applica...
Kingshuk Karuri, Anupam Chattopadhyay, Xiaolin Che...
INFORMATICALT
2006
89views more  INFORMATICALT 2006»
13 years 8 months ago
Investigation of Examples of E-Education Environment for Scientific Collaboration and Distance Graduate Studies, Part 1
The objective is to investigate two emerging information technologies in graduate studies and scientific cooperation. Internet is the first technology. The open source is the secon...
Jonas Mockus
IPPS
2002
IEEE
14 years 1 months ago
Parallel Out-of-Core Algorithm for Genome-Scale Enumeration of Metabolic Systemic Pathways
Systemic pathways-oriented approaches to analysis of metabolic networks are effective for small networks but are computationally infeasible for genome scale networks. Current comp...
Nagiza F. Samatova, Al Geist, George Ostrouchov, A...
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki