Selected Statistical Machine Learning Publications

Brakenridge, S.C., Henley, S.S., Golden, R. M., Paik, D. H., Phelan, H. A., Sperry, J. L., Cohen, M. J., Moore, E.E., Minei, J. P., Maier, R. V., and Cuschieri, J. (2013). Comparing clinical predictors of deep venous thrombosis versus pulmonary embolus after severe injury: a new paradigm for post-traumatic venous thromboembolism? Journal Trauma Acute Care Surg, 74, 1231-1237.

Golden, Richard, M., Henley, S., White, H., and Kashner, T. M. (2013). New directions in information matrix testing: Eigenspectrum tests. In Causality, Prediction, and Specification Analysis: Recent Advances and Future Directions Essays in Honour of Halbert L. White Jr. (Festschrift Hal White Conference), Norman Rasmus Swanson and Xiaohong Chen, editors, New York: Spring, pp. 145-178.

Ghiasinejad, S., and Golden, R. M. (2013). Modeling human coding of free response data. Computers in Human Behavior, 29, , 2394-2403.

Dasgupta, S., Golden, R. M., Ng, V. (2012). Clustering documents along multiple dimensions. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence. AAAI Press, pp. 879-885.

Wong, W. E., Debroy, V., Golden, R., Xu, X., Thuraisingham, B. (2012). Effective software fault localization using an RBF neural network. IEEE Transactions on Reliability, 61, 149-169.

Kashner, T. M., Henley, S. S., Golden, R. M., Byrne, J. M., Sheri, A., Cannon, G. W., Chang, B. K., Holland, G. J., Aron, D.C., Wicker, A., and White, H. (2010). Studying the effects of ACGME duty hours limits on resident satisfaction: Results from VA learners' perception survey. Academic Medicine, 85, 1130-1139.

Paik, D., Golden, R. M., Tolak, M., and Dowling, E. M. (2006). Blind adaptive CDMA processing for smart antennas using the block Shanno constant modulus algorithm. IEEE Transactions on Signal Processing, 54, 1956-1959.

Golden, R. M. (2003). Discrepancy risk model selection test theory for comparing possibily misspecified or nonnested models. Psychometrika, 68, 229-249.

Golden, R. M. (2000). Multiuser interference suppression using block Shanno constant modulus algorithm. IEEE Transactions on Signal Processing, 48, 1503-1505.

Golden, R. M. (2000). Kirchoff law Markov fields for analog circuit design. In S. A. Solla, T. K. Leen, and K. R. Muller (eds.) Neural Information Processing Systems Proceedings, 12, MIT Press, Cambridge, 907-913.

Golden, R. M. (2000). Statistical tests for comparing possibly misspecified and non-nested models. Journal of Mathematical Psychology.

Golden, R. M. (1997). Optimal statistical goals for neural networks are necessary, important, and practical. In D. S. Levine and W. R. Elsberry (eds.) Optimality in Biological and Artificial Neural Networks?

Golden, R. M. (1996). Mathematical Methods for Neural Network Analysis and Design. MIT Press, Cambidge: MA.

Rumelhart, D. E., Durbin, R., Golden, R. M., Chauvin, Y. (1996). Backpropagation: The basic theory. In P. Smolensky, M. C. Mozer, and D.E. Rumelhart (eds.) Mathematical Perspectives on Neural Networks, Erlbaum: NJ, 553-566.

Golden, R. M. (1995). Making correct statistical inferences using a wrong probability model. Journal of Mathematical Psychology, 39, 3-20.

Golden, R. M. (1993). Stability and optimization analyses of the generalized brain-state-in-a-box neural network model. Journal of Mathematical Psychology, 37, 282-298.

Schley, C., Chauvin, Y., Henkle, V., and Golden, R. M. (1991). Neural networks structured for control application to aircraft landing. In D. S. Touretzky and R. Lippmann (eds.), Advances in Neural Information Processing Systems 3. Morgan Kaufmann, San Mateo, CA 415-421.

Golden, R. M. (1988a). Probabilistic characterization of neural model computations. In D. Z. Anderson (Ed.) Neural Networks and Information Processing. New York, NY: AIP, 310-316.

Golden, R. M. (1988b). A unified framework for connectionist systems. Biological Cybernetics, 59, 109-120.

Golden, R. M. (1986). The "Brain-State-in-a-Box" neural model is a gradient descent algorithm. Journal of Mathematical Psychology, 30, 73-80.