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DAC
2004
ACM
15 years 11 months ago
Abstraction refinement by controllability and cooperativeness analysis
ion Refinement by Controllability and Cooperativeness Analysis Freddy Y.C. Mang and Pei-Hsin Ho Advanced Technology Group, Synopsys, Inc. {fmang, pho}@synopsys.com nt a new abstrac...
Freddy Y. C. Mang, Pei-Hsin Ho
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
15 years 10 months ago
Online Maintenance of Very Large Random Samples
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
IJAR
2007
130views more  IJAR 2007»
14 years 10 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
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PDCAT
2005
Springer
15 years 3 months ago
A New Algorithm to Solve Synchronous Consensus for Dependent Failures
Fault tolerant algorithms are often designed under the t-out-of-n assumption, which is based on the assumption that all processes or components fail independently with equal proba...
Jun Wang, Min Song
IPPS
1999
IEEE
15 years 2 months ago
Parallel Algorithms for 3D Reconstruction of Asymmetric Objects from Electron Micrographs
We present new parallel algorithms for 3D reconstruction of objects from 2D projections and their application for the determination of the structure of macromolecules from electro...
Robert E. Lynch, Dan C. Marinescu, Hong Lin, Timot...