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. , Mátyás , C. , Bidló , A. and Gálos , B. 2018 . Machine learning approximation of Járó-table (table of applicable targeted forest stands and their growth for each forest site) . (in Hungarian) Erdészettudományi Közlemények . 8 . ( 1

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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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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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, Gerhardt RT , Blackbourne LH , Ryan KL : Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage . J. Trauma 71 ( 1 Suppl ), S25 – S32 ( 2011 ) 8. Cooke WH , Cox JF , Diedrich AM , Taylor JA

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] Mitchell T. M. Machine learning , McGraw-Hill, 1997 . [8] Wu S. G

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Hematológia–Transzfuziológia
Authors: Lívia Varga, Zsuzsanna Nemes Nagy, Andrea Mosonyiné Kőszegi, Sándor Nagy, Judit Jakab, Anikó Szilvási, Zsófia Vilimszky, András Bors, Attila Tordai, Ildikó Zsigmond Soós, and Hajnalka Andrikovics

Diao JA, Kohane IS, Manrai AK. Biomedical informatics and machine learning for clinical genomics. Hum Mol Genet. 2018; 27: 29–34. 9 Haeussler M, Zweig AS, Tyner C, et al. The UCSC Genome Browser

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Fitzgibbon, L. J., Dowe, D. L. and Allison, L. 2002. Univariate polynomial inference by Monte Carlo message length approximation. In: C. Sammut and A. G. Hoffman (eds.) Proceedings 19 th International Conference on Machine Learning (ICML’2002), Sydney

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. Nonlinear Multivariate Analysis 1990 Globerson, A. and Tisby, N. 2003 Sufficient dimensionality reduction. J. Machine Learning

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. 31 71 85 Kampichler, C., Dzeroski, S. & Wieland, R., 2000. Application of machine learning techniques to the analysis of soil ecological databases

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