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, Ch. M ., Pattern recognition and machine learning , Springer Verlag 2006 . [4] Fisher , R ., The use of multiple measurements in taxonomic problems , Annals of Eugenics , 7 ( 1936 ), 179 – 188 . [5] Fukunaga , K ., Introduction to

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Shieber . 2007 . Machine learning theory and practice as a source of insight into universal grammar . Journal of Linguistics 43 . 393 – 427 . Lasnik , Howard . 2000

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Machine Learning for Networking: Workflow, Advances and Opportunities IEEE Network 32 2 2018 03 92-99 10.1109/mnet.2017

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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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Translational Medicine 4 ( 7 ): 136 . Zhao , P. – Yu , B. ( 2006 ): On Model Selection Consistency of Lasso . The Journal of Machine Learning Research 7 : 2541 – 2563 .

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Pazzani, M. J. and D. Kibler. 1992: The utility of knowledge in inductive learning Machine Learning 9 : 57-94. The utility of knowledge in inductive learning Machine Learning

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. Machine learning models for predicting species habitat distribution suitability: An example with Pinus sylvestris L. for the Iberian Peninsula. Ecol. Model. 197: 383–393. Furlanello C

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12 149 152 Michalski, R. S., I. Bratko and M. Kubat (eds). 1998. Machine learning and data mining: Methods and Applications. Wiley, New York

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