Google DeepMind, "AlphaGo: the first computer program to ever beat a professional player at the game of go," Available https://deepmind.com/alpha-go.html
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, et al., "Mastering the game of Go with deep neural networks and tree search," Nature, vol. 529, no. 7587, pp. 484-489, 2016. http://dx.doi.org/10.1038/nature16961
IBM Watson, Available http://www.ibm.com/smarterplanet/us/en/ibmwatson
J. Jackson, "IBM Watson vanquishes human jeopardy foes," Available http://www.pcworld.com/article/219893
S. J. Russell and P. Norvig, Artificial intelligence: a modern approach, 3rd ed. Essex: Pearson, 2014.
S. M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, 4th ed. (Transl. K. S. Lee). New York: Academic Press, 2012.
J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, 3rd ed. Waltham, MA: Morgan Kaufmann, 2012.
M. Berthold and D. J. Hand, Intelligent Data Analysis: An Introduction, Berlin: Springer, 1999. http://dx.doi.org/10.1007/978-3-662-03969-4
M. Akritas, Probability and Statistics with R for Engineers and Scientists, Boston, MA: Pearson, 2015.
A. B. Khalifa and H. Frigui, "Multiple instance Mamdani fuzzy inference," International Journal of Fuzzy Logic and Intelligent Systems, vol. 15, no. 4, pp. 217-231, 2015. http://dx.doi.org/10.5391/IJFIS.2015.15.4.217
J. S. Kim and J. S. Jeong, "Pattern recognition of ship navigational data using support vector machine," International Journal of Fuzzy Logic and Intelligent Systems, vol. 15, no. 4, pp. 268-276, 2015. http://dx.doi.org/10.5391/IJFIS.2015.15.4.268
M. Kim, "Online selective-sample learning of hidden Markov models for sequence classification," International Journal of Fuzzy Logic and Intelligent Systems, vol. 15, no. 3, pp. 145-152, 2015. http://dx.doi.org/10.5391/IJFIS.2015.15.3.145
R. Zhao, D. W. Lee, and H. K. Lee, "Fuzzy logic based navigation for multiple mobile robots in indoor environments," International Journal of Fuzzy Logic and Intelligent Systems, vol. 15, no. 4, pp. 305-314, 2015. http://dx.doi.org/10.5391/IJFIS.2015.15.4.305
S. B. McGrayne, The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines & Emerged Triumphant from two Centuries of Controversy, New Haven, CT: Yale University Press, 2011.
A. Gelman, J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin, Bayesian Data Analysis, 3rd ed. Boca Raton, FL: CRC Press, 2013.
J. K. Kruschke, Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, 2nd ed. London: Elsevier, 2015.
K. B. Korb and A. E. Nicholson, Bayesian Artificial Intelligence, 2nd ed. Boca Raton, FL: CRC Press, 2011. http://dx.doi.org/10.1201/b10391
S. Jun and S. S. Park, "Examining technological innovation of apple using patent analysis," Industrial Management & Data Systems, vol. 113, no. 6, pp. 890-907, 2013. http://dx.doi.org/10.1108/IMDS-01-2013-0032
J. M. Kim and S. Jun, "Graphical causal inference and copula regression model for apple keywords by text mining," Advanced Engineering Informatics, vol. 29, no. 4, pp. 918-929, 2015. http://dx.doi.org/10.1016/j.aei.2015.10.001
I. Feinerer, K. Hornik, and D. Meyer, "Text mining infrastructure in R," Journal of Statistical Software, vol. 25, no. 5, pp. 1-54, 2008. http://dx.doi.org/10.18637/jss.v025.i05
I. Feinerer and K. Hornik, "Package 'tm': Text Mining Package ver. 0.6-2," Available https://cran.r-project.org/web/packages/tm/tm.pdf