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Improving the Predictive Performances of $k$ Nearest Neighbors Learning by Efficient Variable Selection


Nov 04, 2022
Eddie Pei, Ernest Fokoue

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* 11 pages, 7 figures 

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A Computational Exploration of Emerging Methods of Variable Importance Estimation


Aug 05, 2022
Louis Mozart Kamdem, Ernest Fokoue

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Naive Dictionary On Musical Corpora: From Knowledge Representation To Pattern Recognition


Nov 29, 2018
Qiuyi Wu, Ernest Fokoue

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* 25 pages 

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Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training


Sep 07, 2018
Boyu Chen, Wenlian Lu, Ernest Fokoue

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On the Statistical Challenges of Echo State Networks and Some Potential Remedies


Feb 20, 2018
Qiuyi Wu, Ernest Fokoue, Dhireesha Kudithipudi

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* 18 pages, 10 figures 

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Random Subspace Learning Approach to High-Dimensional Outliers Detection


May 03, 2015
Bohan Liu, Ernest Fokoue

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* 13 pages, 18 figures 

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On the Predictive Properties of Binary Link Functions


Feb 16, 2015
Necla Gunduz, Ernest Fokoue

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* 17 pages, 10 figures. arXiv admin note: text overlap with arXiv:math-ph/0607066 by other authors 

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Adaptive Random SubSpace Learning (RSSL) Algorithm for Prediction


Feb 09, 2015
Mohamed Elshrif, Ernest Fokoue

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A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining


Jan 03, 2015
Ernest Fokoue

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* 18 pages, 2 figures 3 tables 

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Probit Normal Correlated Topic Models


Oct 03, 2014
Xingchen Yu, Ernest Fokoue

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* 11 pages, 2 figures and 2 tables 

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