A LVQ-Based Identification System for Pathological Brain Aging Diseases
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Shie-Jue Lee | Ching-Sheng Tu | Ying-Jie You | Chia-Ju Chen | Chen-Yu Wu | Mei-Chuan Chou | Ching-Kuan Liu | Ching-Kuan Liu | Shie-Jue Lee | Ching-Sheng Tu | Chen-Yu Wu | Ying-Jie You | Chia-Ju Chen | Mei-Chuan Chou | Ching-Kuan Liu
[1] Robert M. Pap,et al. Handbook of neural computing applications , 1990 .
[2] Lipo Wang,et al. On competitive learning , 1997, IEEE Trans. Neural Networks.
[3] M. Trabucchi,et al. Clinical aspects of Alzheimer’s disease , 2001, Aging.
[4] Thomas Villmann,et al. Generalized relevance learning vector quantization , 2002, Neural Networks.
[5] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[6] Feng Chu,et al. Applications of support vector machines to cancer classification with microarray data , 2005, Int. J. Neural Syst..
[7] Bing Liu,et al. An efficient semi-unsupervised gene selection method via spectral biclustering , 2006, IEEE Transactions on NanoBioscience.
[8] Lipo Wang,et al. Data Mining With Computational Intelligence , 2006, IEEE Transactions on Neural Networks.
[9] Wei Xie,et al. Accurate Cancer Classification Using Expressions of Very Few Genes , 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[10] James H. Elder,et al. Probabilistic Linear Discriminant Analysis for Inferences About Identity , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[11] Michael Biehl,et al. Adaptive Relevance Matrices in Learning Vector Quantization , 2009, Neural Computation.
[12] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[13] Weisi Lin,et al. Semisupervised Biased Maximum Margin Analysis for Interactive Image Retrieval , 2012, IEEE Transactions on Image Processing.
[14] A. Izenman. Linear Discriminant Analysis , 2013 .
[15] Brian C. Ross. Mutual Information between Discrete and Continuous Data Sets , 2014, PloS one.
[16] Aboul Ella Hassanien,et al. Dimensionality reduction of medical big data using neural-fuzzy classifier , 2014, Soft Computing.
[17] Shie-Jue Lee,et al. A weighted LS-SVM based learning system for time series forecasting , 2015, Inf. Sci..
[18] Gernot R. Müller-Putz,et al. Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier , 2016, Biomedizinische Technik. Biomedical engineering.
[19] Benjamin Naumann,et al. Learning And Soft Computing Support Vector Machines Neural Networks And Fuzzy Logic Models , 2016 .
[20] R. Syahputra. APPLICATION OF NEURO-FUZZY METHOD FOR PREDICTION OF VEHICLE FUEL CONSUMPTION , 2016 .
[21] Francesco Palmieri,et al. Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification , 2016, Soft Computing.
[22] T. Khan,et al. An Algorithm for Preclinical Diagnosis of Alzheimer's Disease , 2018, Front. Neurosci..
[23] Tsuyoshi Murata,et al. {m , 1934, ACML.