Statistical Machine Learning

Golden, R. M. (2023). Inferring Causal Relationships from Observational Data Sets. Frontiers of Brainhealth Lunchtime Lectures. Center for Brain Health, Dallas, TX, May 2023.
Golden, R. M. (2020). Statistical Machine Learning: A Unified Framework. Texts in Statistical Science Series, CRC Press.
Golden, R. M. (2018). Adaptive Learning Algorithm Convergence in Passive and Reactive Environments. Neural Computation, 30(10), 2805–2832. doi: 10.1162/neco_a_01117
Dasgupta, Sajib & Golden, Richard & Ng, Vincent. (2012). Clustering Documents Along Multiple Dimensions. Proceedings of the National Conference on Artificial Intelligence. 2.
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(1), 149–169. doi: 10.1109/tr.2011.2172031
Golden, R. M. (2010). Artificial Neural Networks. In H. Bidgoli (ed.) The Handbook of Technology Management. Volume 3. New York: Wiley, pp. 331-346
Daehyun Paik, R. M. Golden, M. Torlak and E. M. Dowling (2006). Blind adaptive CDMA processing for smart antennas using the block Shanno constant modulus algorithm. IEEE Transactions on Signal Processing, vol. 54, no. 5, pp. 1956-1959, May 2006, doi: 10.1109/TSP.2006.870608.
Jani, U., E. M. Dowling, R. M. Golden, and Wang, Z. (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, pp. 907-913
Michaels, E. K., Niederberger, C. S., Golden, R. M., Brown, B.,Cho, L., Hong Y. (1998). Use of a neural network to predict stone growth after shock wave lithotripsy. Urology, 51, 335-338.
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? [Chapter 9]. Routledge: New York.
Krongrad, A., L. J. Granville, M. A. Burke, R. M. Golden, S. Lai,L. Cho, and C. S. Niederberger (1997). Predictors of general quality of life in patients with benign prostate hyperplasia or prostate cancer. Journal of Urology, 157, 534-538.
Golden, R. M. (1996). Mathematical Methods for Neural Network Analysis and Design (1st. ed.). MIT Press, Cambridge, MA, USA.
Golden, R. M. (1996). Classical Methods for interpreting objective function minimization as intelligent inference. In J. Albus, A. Meystel, and R. Quintero (eds.) Intelligent Systems: A Semiotic Perspective, Proceedings of An International Multidisciplinary Conference Volume I: Theoretical Semiotics. U.S. Government Printing Office, Washington, D.C. [5 pages]
Rumelhart, D. E., Durbin, R., Golden, R., and Chauvin, Y. (1995). Backpropagation: The basic theory. In Y. Chauvin and D. E. Rumelhart (eds.),Backpropagation:Theory, Architectures, and Applications. Hillsdale: NJ. Lawrence Erlbaum, 1-34.
Golden, R. M. (1993). Stability and Optimization Analyses of the Generalized Brain-State-in-a-Box Neural Network Model. Journal of Mathematical Psychology, 37(2), 282–298. doi: 10.1006/jmps.1993.1017
Golden, R. M. (1988c). A unified framework for connectionist systems. Biological Cybernetics, 59(2), 109–120. doi: 10.1007/bf00317773
Golden, R. M. (1988b). Probabilistic characterization of neural model computations. In D. Z. Anderson (Ed.) Neural Networks and Information Processing. Advances in Neural Information Processing Systems Proceedings Volume 0 . New York: NY: AIP, 310-316.
Golden, R. M. (1988a). Relating neural networks to traditional engineering approaches. The Proceedings of the Artificial Intelligence Conference/West. Conference Management Company, IL, 255-260
Golden, R. M. (1986). The “Brain-State-in-a-Box” neural model is a gradient descent algorithm. Journal of Mathematical Psychology, 30(1), 73–80. doi: 10.1016/0022-2496(86)90043-x
Anderson, J. A., Golden, R. M., and Murphy, G. L. (1986). Concepts in distributed systems. In H. Szu (Ed.), SPIE. Advanced Institute, Optical and Hybrid Computing. Bellingham, Washington: SPIE, 13-22.