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» Performance Analysis of Three Text-Join Algorithms
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ML
2006
ACM
142views Machine Learning» more  ML 2006»
14 years 9 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....
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
14 years 10 months ago
Image registration using genetic algorithms
This paper addresses the image registration problem applying genetic algorithms. The image registration’s objective is the definition of a mapping that best match two set of poi...
Flávio Luiz Seixas, Luiz Satoru Ochi, Aura ...
MIA
2010
95views more  MIA 2010»
14 years 4 months ago
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data
A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in ...
Swati Sharma, Vincent Noblet, François Rous...
JMLR
2010
198views more  JMLR 2010»
14 years 4 months ago
Online Anomaly Detection under Adversarial Impact
Security analysis of learning algorithms is gaining increasing importance, especially since they have become target of deliberate obstruction in certain applications. Some securit...
Marius Kloft, Pavel Laskov
ICDAR
2003
IEEE
15 years 2 months ago
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
Feature selection for ensembles has shown to be an effective strategy for ensemble creation. In this paper we present an ensemble feature selection approach based on a hierarchica...
Luiz E. Soares de Oliveira, Robert Sabourin, Fl&aa...