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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 3 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
TMI
2010
156views more  TMI 2010»
14 years 9 months ago
Snakules: A Model-Based Active Contour Algorithm for the Annotation of Spicules on Mammography
Abstract--We have developed a novel, model-based active contour algorithm, termed "snakules", for the annotation of spicules on mammography. At each suspect spiculated ma...
Gautam S. Muralidhar, Alan Conrad Bovik, J. David ...
CLUSTER
2002
IEEE
15 years 8 months ago
Cluster Based Hybrid Hash Join: Analysis and Evaluation
The join is the most important, but also the most time consuming operation in relational database systems. We implemented the parallel Hybrid Hash Join algorithm on a PC-cluster a...
Erich Schikuta, Peter Kirkovits
ICASSP
2010
IEEE
15 years 3 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
ANCS
2007
ACM
15 years 7 months ago
An improved algorithm to accelerate regular expression evaluation
Modern network intrusion detection systems need to perform regular expression matching at line rate in order to detect the occurrence of critical patterns in packet payloads. Whil...
Michela Becchi, Patrick Crowley