Learning and prediction



We have looked at machine learning and prediction in several contexts. First, in the control of reconfigurable interconnection networks, then in memory access pattern, and most recently in predictive filtering for radar signal processing applications.



  1. "Performance of On-Line Learning Methods in Predicting Multiprocessor Memory Access Patterns," Technical Report UMIACS-TR-59 and CS-TR-3676 Institute for Advanced Computational Studies.
  2. M. F. Sakr, C.L. Giles, S. P. Levitan, B. G. Horne, M. Maggini, D. M. Chiarulli, "Online Prediction of Multiprocessor Memory Access Patterns,"IEEE International Conference on Neural Networks (ICNN'96), Vol. 3, pp. 1564-1569, Washington, DC, June 3-6, 1996. Best Paper Award
  3. M. F. Sakr, S. P. Levitan, C. L. Giles, B. G. Horne, M. Maggini, D. M. Chiarulli, "Predictive Control of Opto-Electronic Reconfigurable Interconnection Networks Using Neural Networks," Second International IEEE Workshop on Massively Parallel Processing Using Optical Interconnections (MPPOI'95), pp. 326-335, San Antonio, TX, Oct. 23-24, 1995.
  4. M.F. Sakr, S.P. Levitan, D.M. Chiarulli, B.G. Horn, C.L. Giles, "Predicting Multiprocessor Memory Access Patterns with Learning Models," Fourteenth International Conference on Machine Learning (ICML'97), (poster) pp. 305-312, D. Fisher, Ed., Vanderbilt University, Nashville, TN, Morgan Kaufmann, Pub., July 8-12, 1997.