[1] Christopher M. Bishop, “Neural Networks for Pattern Recognition”, Oxford, 1995
[2] Nagendra, S.S.; Khare, M. “Artificial neural network approach for modelling nitrogen dioxide dispersion from vehicular exhaust emissions”. Ecol. Model. 2006, 190, 99–115 [3] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals, “Understanding deep learning requires rethinking generalization”, ICLR 2017
[4] A., Nielsen, Michael (2015). “Neural Network and Deep learning”, NeuralNetworksAndDeepLearning.com
[5] Bramer, M. “Principles of data mining”, Springer-Verlag, London, 2013.
[6] Altman N.S. (1992). “An introduction to kernel and nearest-neihbor nonparametric regression”
[7] Samworth R.J. (2012). “Optimal weighted nearest neighbor classifiers”.
[8] D. Coomans; D.L. Massart (1982). “Alternative k-Nearest neighbor rules in supervised pattern recognition: Part 1. k-Nearest neighbor classification by using alternative voting rules”. Analytica Chimica Acta
[9] Veljanovska, K. “Machine Learning Algorithms Comparison”, International Journal of Engineering and Technical Research (IJETR), Vol.7, No.11, 2017
[10] Veljanovska, K. “Analysis of Machine Learning Algorithms Performance for Real World Concept”, International Journal of Advanced Research in Science and Engineering (IJARSE), Vol.06, No.12, 2017
[11] Mitchell, T. “Machine Learning”, McGraw-Hill, New York, USA, 1997
[12] Sayali D. Jadhav, H.P. Channe, “Comparative Study of k-NN, Naïve Bayes and Decision Tree Classification Technologies”, International Journal of Science and Research, 2013
[13] Kattariya Kujaroentavon, Supapom Kiattisin, Adisom Leelasantitham, Sotarat Thammaboosadee, “Air quality classification in Thailand based on decision tree”, Biomedical Engineering International Conference (BMEiCON), 2014
[14] Breiman, Leo; Friedman, J.H; Olshen, R.A; Stone, C.J. (1984). “Classification and regression trees”. Montrey, CA: Wadsworth & Brooks/Cole Advanced Books & Software
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