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offers a number of enhancements that can be used to extract even more data from the measurement data set: Application of Deep/machine learning algorithms to classify multiple measurements Creating a correlation matrix for the measurement parameters

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References [1] Bansal N. , Blum A. , Chawla S. Correlation clustering , Machine Learning , Vol. 56 , No. 1-3 , 2004

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) 2003 Goldberg, D. E. Genetic Algorithms in Search, Optimization, and Machine Learning Addison-Wesley Publishing Company, Inc., 1989

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. Genetic algorithms in search, optimization, and machine learning, Addison-Wesley Publishing Company, Inc. 1989.

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microbial spoilage of meat by Fourier transform infrared spectroscopy and machine learning. Appl. environ. Microbiol. , 68 , 2822–2828. Goodacre R. Rapid and quantative detection

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, Distill , Vol. 1 , No. 10 , 2016 , Paper e2. [18] Van Der Maaten L. , Hinton G. Visualizing data using t-SNE , Journal of Machine

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, No. 3 , 2012 , pp. 15 – 21 . [5] Goldberg D. E. Genetic algorithms in search optimization and machine

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Pollack Periodica
Authors: Mykola Sysyn, Vitalii Kovalchuk, Ulf Gerber, Olga Nabochenko, and Andriy Pentsak

] Sysyn M. , Gruen , D. , Gerber , U. , Nabochenko , O. , Kovalchuk V. Turnout monitoring with vehicle based inertial measurements of operational trains: a machine learning approach , Communications

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. [24] Bupe C. What is the difference between knowledge based approach and machine learning approach for sentiment analysis , Answer, Quora , 2016

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. , Domingos P. , Weld D. S. Version space algebra and its application to programming by demonstration , Proceedings of the Seventeenth International Conference on Machine Learning, ICML '00 , 29 June - 2 July 2000 , pp. 527 – 534

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