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» Business Process Knowledge Modelling: Method and Tool
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IJCAI
2003
14 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
90
Voted
ICASSP
2007
IEEE
15 years 4 months ago
A Multi-Subject, Dynamic Bayesian Networks (DBNS) Framework for Brain Effective Connectivity
As dynamic connectivity is shown essential for normal brain function and is disrupted in disease, it is critical to develop models for inferring brain effective connectivity from ...
Junning Li, Z. Jane Wang, Martin J. McKeown
CGI
1997
IEEE
15 years 1 months ago
An Algorithm for Polygon Subdivision Based on Vertex Normals
In order to achieve the impression of a smooth surface while rendering a polygon mesh, normal vector vectors may be provided in the vertices of the mesh that are the average of th...
Cornelius W. A. M. van Overveld, Brian Wyvill
91
Voted
SIGCOMM
2006
ACM
15 years 3 months ago
Systematic topology analysis and generation using degree correlations
Researchers have proposed a variety of metrics to measure important graph properties, for instance, in social, biological, and computer networks. Values for a particular graph met...
Priya Mahadevan, Dmitri V. Krioukov, Kevin R. Fall...
RTAS
2005
IEEE
15 years 3 months ago
Timing Analysis for Sensor Network Nodes of the Atmega Processor Family
Low-end embedded architectures, such as sensor nodes, have become popular in diverse fields, many of which impose real-time constraints. Currently, the Atmel Atmega processor fam...
Sibin Mohan, Frank Mueller, David B. Whalley, Chri...