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  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Design Methodology (I.5.2)
 
  Design Methodology (I.5.2) See Reviews  
 
Subject Descriptors:
Classifier Design And Evaluation (197)
Feature Evaluation And Selection (100)
Pattern Analysis (132)
 
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Reviews about "Design Methodology (I.5.2)":
Date Reviewed
Brain tumor classification from multi-modality MRI using wavelets and machine learning
Usman K., Rajpoot K.  Pattern Analysis & Applications 20(3): 871-881, 2017. Type: Article
Dec 15 2017
A survey on ensemble learning for data stream classification
Gomes H., Barddal J., Enembreck F., Bifet A.  ACM Computing Surveys 50(2): 1-36, 2017. Type: Article
Jun 16 2017
 Tied factors analysis for high-dimensional image feature extraction and recognition application
Liao H., Chen Y., Dai W., Ruan R.  Pattern Analysis & Applications 20(2): 587-600, 2017. Type: Article
Jun 15 2017
Context-based unsupervised ensemble learning and feature ranking
Soltanmohammadi E., Naraghi-Pour M., van der Schaar M.  Machine Learning 105(3): 459-485, 2016. Type: Article
Apr 20 2017
Structural pattern recognition with graph edit distance: approximation algorithms and applications
Riesen K.,  Springer International Publishing, New York, NY, 2016. 158 pp. Type: Book (978-3-319272-51-1)
Aug 23 2016
Biological signals classification and analysis
Kiasaleh K.,  Springer International Publishing, New York, NY, 2015. 380 pp. Type: Book (978-3-642548-78-9)
Jul 1 2016
Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering
Bdiri T., Bouguila N., Ziou D.  Applied Intelligence 44(3): 507-525, 2016. Type: Article
Jun 20 2016
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