Commonly Used or Important References
– 1 –
Smith, Murray. 1993. Neural Networks for Statistical Modeling.
[Recommended by Prof Mahajan, University of Colorado at Boulder, personal correspondence. ]
– 2 –
Rumelhart, David E., Geoffrey E. Hinton, and Ronald J. Williams. 1986b. “Learning Internal Representations by Error Propagation”. In Parallel Distributed Processing, Volume 1: Foundations, ed. David E. Rumelhart, James L. McClelland and the PDP Research Group, pp. 318-362. Cambridge, Massachusetts: The MIT Press.
– 3 –
Werbos, Paul. 1974. Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Cambridge, Massachusetts: Harvard University Department of Applied Mathematics.
– 4 –
Le Cun, Yann. 1986. Learning Processes in a Asymetric Threshold Network. In Disordered Systems and Biological Organization, ed. E. Bienenstock, F. Fogelman Soulie, and G. Weisbuch. Berlin: Springer.
– 5 –
Turing, Alan. October 1950. “Computing Machinery and Intelligence”, Mind.
– 6 –
Hofstadter, Douglas. 1979. Gödel, Escher, Bach: an Eternal Golden Braid.
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