| Online learning via congregational gradient descent |
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Annual Workshop on Computational Learning Theory
archive
Proceedings of the eighth annual conference on Computational learning theory
table of contents
Santa Cruz, California, United States
Pages: 265 - 272
Year of Publication: 1995
ISBN:0-89791-723-5
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Authors
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Kim L. Blackmore
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Department of Engineering, Australian National University, Canberra ACT 0200, Australia
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Robert C. Williamson
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Dept of Engineering, ANU, Canberra ACT 0200, Australia
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Iven M. Y. Mareels
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Dept of Engineering, ANU, Canberra ACT 0200, Australia
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William A. Sethares
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Dept of Electrical and Computer Engineering, University of Wisconsin, Madison
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Downloads (6 Weeks): 15, Downloads (12 Months): 26, Citation Count: 0
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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A. Benveniste and M. Goursat. Blind equalizers. IEEE Transactions on Communications, 32:871-883, August 1984.
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2
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3
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K L. Blackmore, R C. Williamson, and I.M.Y. Mareels. Learning nonlinearly parametrized decision regions. Journal of Mathematical Systems, Esttmation, and Control, 1995. To appear.
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4
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J A. Bucklew, TG. Kurtz, and W.A. Sethares. Weak convergence and local stability properties of fixed step size recurslve algorithms. 1EEE Transactions on Infi~rmatton Theory, 39:966-978, 1993.
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5
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Nicolò Cesa Bianchi , Philip M. Long , Manfred K. Warmuth, Worst-case quadratic loss bounds for a generalization of the Widrow-Hoff rule, Proceedings of the sixth annual conference on Computational learning theory, p.429-438, July 26-28, 1993, Santa Cruz, California, United States
[doi> 10.1145/168304.168390]
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6
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Z. Ding, R.A. Kennedy, B.D.O. Anderson, and C.R. Johnson Jr. Ill-convergence of Godard blind equahzers in data communication systems. IEEE Transactions on Communications, 39(9): 1313-1327, 1991.
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7
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K. Dogancay and R.A. Kennedy. Testing for the convergence of a linear decision directed equalizer, lEE Proc.-Vis. Image Signal Process., 141 (2): 129-136, April 1994.
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8
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K. Dogancay and R.A. Kennedy. Testing output performance in blind adaptation. In Proceediugs of the 33rd IEEE Conference on Dectsto~z and Control, pages 2817-2818, December 1994.
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9
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|
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10
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S. Forrest. Genetic algorithms: Principles of natural selection applied to computation. Science, 261:972-978, 13 August 1993.
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11
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M.R. Frater, R.R. Bitmead, and C.R. Johnson Jr. Escape from stable equilibria in blind adaptive equalization. In Proceedings of the 31st IEEE Conference on Decision and Control, pages 1756-1761, December 1992.
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12
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TM. Heskes and B. Kappen. On-hne learning processes in artificial neural networks. In J.G. Taylor, editor, Mathematical Approaches to Neural Networks, pages 199-233. North- Holland, Amsterdam, 1993.
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13
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M.W. Hirsch and S. Smale. Differential Equations, Dwzamical Systems, and Linear Algebra. Academic Press, New York, 1974.
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14
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15
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C.R. Johnson Jr, S. Dasgupta, and W.A. Sethares. Averaging analysis of local stabfiity of a real constant modulus algorithm adaptive filter. 1EEE Transactions on Acoustics, Speech and Signal Processing, 36(6):900-910, 1988.
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16
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C.-M. Kuan and K. Hornik. Convergence of learning algorithms with constant learning rates. IEEE Transactions o~ Neural Networks, 2(5):484-489, 1991.
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17
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18
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J A. Sanders and F. Verhulst. Averaging Methods in Nonlinear Dynamical System~. Applied Mathematical Sciences; v. 59. Springer-Verlag, New York, 1985.
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