Novel iterative approach using generative and discriminative models for classification with missing features-Reference-Cited by-同舟云学术

Novel iterative approach using generative and discriminative models for classification with missing features

Published:2017-02 Issue: Volume:225 Page:23-30
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Kiasari Mohammad Ahangar,Jang Gil-Jin,Lee Minho

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference25 articles.

1. MMSE-based missing-feature reconstruction with temporal modeling for robust speech recognition. IEEE Trans. Audio Speech Language;González;Process,2013

2. Service-oriented medical system for supporting decisions with missing and imbalanced data. IEEE J. Biomed.;Zieba;Health Inf.,2014

3. A review on missing value imputation algorithms for microarray gene expression data;Moorthy;Curr. Bioinformat,2014

4. Application of growing hierarchical SOM for visualization of network forensics traffic data;Palomo;Neural Netw.,1999

5. X-SOM and L-SOM: a double classification approach for missing value imputation;Merlin,2010

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