Source: http://prorum.com/?qa=1882/quais-artigos-mais-influentes-area-aprendizagem-maquinas
Timestamp: 2019-04-26 13:04:05+00:00

Document:
Quais os artigos mais influentes na área de Aprendizagem de Máquinas?
Pearson, K. On Lines and Planes of Closest Fit to Systems of Points in Space. Philosophical Magazine v. 2, p. 559–572, 1901.
Walker, S. H.; Duncan, D. B. "Estimation of the probability of an event as a function of several independent variables. Biometrika v. 54, p. 167–178, 1967.
Cox, D. R. The regression analysis of binary sequences (with discussion. J Roy Stat Soc B, v. 20, p. 215–242, 1958.
Barto, A. G., Sutton, R. S., and Anderson, C. W. Neuronlike elements that can solve difficult learning control problems. In IEEE Transactions on Systems, Man, and Cybernetics, v. 13, 835-846, 1983.
Bellman, R. E. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ.
Sutton, R. S. Learning to predict by the methods of temporal differences. Machine Learning, v. 3, p. 9-44, 1988.
Tesauro, G. TD-Gammon, a self-teaching backgammon program, achieves master-level play. Neural Computation v. 6, p. 215-219, 1994.
J. N. Tsitsiklis, and B. Van Roy. Average Cost Temporal-Difference Learning, Automatica, v. 35, p. 1799-1808, 1999.
J. N. Tsitsiklis and B. Van Roy. An Analysis of Temporal-Difference Learning with Function Approximation, IEEE Transactions on Automatic Control, v. 42, p. 674-690, 1997.
Rumelhart, D. E., Hinton, G. E., and Williams, R. J. Learning internal representations by error propagation. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Volume 1: Foundations, MIT Press, Cambridge, MA. pp 318-362, 1986.
Cortes, C.; Vapnik, V. Support-vector networks". Machine Learning v. 20, p. 273, 1995.
Hinton, G. E. and Salakhutdinov, R. R. (2006) Reducing the dimensionality of data with neural networks. Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.
LeCun, Y., Bengio, Y. and Hinton, G. E. Deep Learning. Nature, v. 521, pp 436-444, 2015.
Hinton, G. E. A practical guide to training restricted Boltzmann machines. Momentum v. 9, p. 926, 2010.
T. Vincent, H. Larochelle Y. Bengio and P.A. Manzagol, Extracting and Composing Robust Features with Denoising Autoencoders, Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML‘08), pages 1096 - 1103, ACM, 2008.
O que você perguntaria a um candidato que disputa por uma vaga na área de Aprendizagens de Máquinas?
Que formação você esperaria de uma pessoa que pretende trabalhar com Aprendizagem de Máquinas?

References: v. 
 v. 
 v. 
 v. 
 v. 
 v. 
 v. 
 v. 
 V. 
 v. 
 v. 
 v.