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» Discretization: An Enabling Technique
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UAI
1998
13 years 8 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
PADS
2004
ACM
14 years 28 days ago
Conservative Synchronization of Large-Scale Network Simulations
Parallel discrete event simulation techniques have enabled the realization of large-scale models of communication networks containing millions of end hosts and routers. However, t...
Alfred Park, Richard M. Fujimoto, Kalyan S. Peruma...
ICIP
2009
IEEE
13 years 5 months ago
The discrete orthonormal Stockwell transform for image restoration
This paper describes an automated image restoration algorithm. The technique is based on the Stockwell transform (ST) and its discrete version, the discrete orthonormal Stockwell ...
Yanwei Wang, Jeff Orchard
PADS
2003
ACM
14 years 22 days ago
Enabling Large-Scale Multicast Simulation by Reducing Memory Requirements
The simulation of large–scale multicast networks often requires a significant amount of memory that can easily exceed the capacity of current computers, both because of the inh...
Donghua Xu, George F. Riley, Mostafa H. Ammar, Ric...
ISBI
2004
IEEE
14 years 8 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...