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AIIA
2003
Springer
15 years 8 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
FLAIRS
2006
15 years 6 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
158
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BMCBI
2010
149views more  BMCBI 2010»
15 years 5 months ago
RuleMonkey: software for stochastic simulation of rule-based models
Background: The system-level dynamics of many molecular interactions, particularly protein-protein interactions, can be conveniently represented using reaction rules, which can be...
Joshua Colvin, Michael I. Monine, Ryan N. Gutenkun...
148
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ICDCSW
2006
IEEE
15 years 11 months ago
Characterization of a Connectivity Measure for Sparse Wireless Multi-hop Networks
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
Srinath Perur, Sridhar Iyer
BMCBI
2007
105views more  BMCBI 2007»
15 years 5 months ago
Generating confidence intervals on biological networks
Background: In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interact...
Thomas Thorne, Michael P. H. Stumpf