Analysis of precision and accuracy in a simple model of machine learning

K. P. Murphy, Machine learning: a probabilistic perspective (MIT Press, Cambridge, MA, USA, 2012), Chap. 1, p. 1.

L. Ward, R. Liu, A. Krishna, V. I. Hegde, A. Agrawal, A. Choudhary and C. Wolverton, Phys. Rev. B 96, 024104 (2017).

W. Hu, R. R. P. Singh and R. T. Scalettar, Phys. Rev. E 95, 062122 (2017).

N. F. Y. Chen, M. F. Kasim, L. Ceurvorst, N. Ratan, J. Sadler et al., Phys. Rev. E 95, 043305 (2017).

Q. Wei, R. G. Melko and J. Z. Y. Chen, Phys. Rev. E 95, 032504 (2017).

E. Magesan, Jay M. Gambetta, A. D. Córcoles and Jerry M. Chow, Phys. Rev. Lett. 114, 200501 (2015).

S-H. Lee and S-H. Kang, J. Korean Phys. Soc. 69, 1254 (2016).

H. Park, J. Korean Phys. Soc. 61, 1148 (2012).

J. Sim, S-Y. Kim and J. Lee, Proteins 59, 627 (2005).

D. T. Jones, J. Mol. Biol. 292, 195 (1999).

D. Ciresan, U. Meier, J. Masci and J. Schmidhuber, Neural Networks 32, 333 (2012).

G. Hinton, L. Deng, G. E. Dahl, A. Mohamed, N. Jaitly et al., IEEE Signal Proc. Mag. 29, 82 (2012).

D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre et al., Nature 529, 484 (2016).

S. Geman, E. Bienenstock and R. Doursat, Neural Comput. 4, 1 (1992).

G. James, D. Witten, T. Hastie and R. Tibshirani, An Introduction to Statistical Learning (Springer, New York, NY, USA, 2013), Chap. 2, p. 34.

I. Goodfellow, Y. Bengio and A. Courville, Deep Learning (MIT Press, Cambridge, MA, USA, 2016), Chap 5. p. 110.

P. G. Green and B. W. Silverman, Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach (Chapman & Hall, London, UK, 2000), Chap. 1, p. 2.

P. J. Bickel and K. Doksum, Mathematical Statistics (Holden-Day, Oakland, CA, USA, 1977), Chap. 3, p. 99.