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CEC
2010
IEEE
15 years 7 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
MICCAI
1998
Springer
15 years 10 months ago
Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model
A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, re...
Yoshitaka Masutani, Thomas Schiemann, Karl Heinz H...
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICMCS
2009
IEEE
110views Multimedia» more  ICMCS 2009»
15 years 4 months ago
David: Discriminant analysis for verification of monuments in image data
In the past few years, several research works have addressed the problems posed by vision
Alberto Del Bimbo, Walter Nunziati, Pietro Pala
BMCBI
2006
161views more  BMCBI 2006»
15 years 6 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang