Macchi, O. and Eweda, E. (1983). "Second-Order Convergence
Analysis of Stochastic Adaptive Linear Filtering," IEEE Trans.
Automatic Control, AC-28(1), 76-85.
Mackey, D. J. C. and Glass, L. (1977). "Oscillation
and Chaos in Physiological Control Systems," Science, 197,
MacQueen, J. (1967). "Some Methods for Classification
and Analysis of Multivariate Observations," in Proceedings of the
Fifth Berkeley Symposium on Mathematics, Statistics, and Probability,
L. M. LeCam and J. Neyman, Editors, 281-297. University of California Press,
Magnus, J. R. and Neudecker, H. (1988). Matrix Differential
Calculus with Applications in Statistics and Econometrics. Wiley, Chichester.
Makram-Ebeid, S., Sirat, J.-A., and Viala, J.-R. (1989).
"A Rationalized Back-Propagation Learning Algorithm," in International
Joint Conference on Neural Networks (Washington 1989), vol. II, 373-380.
IEEE, New York.
von der Malsberg, C. (1973). "Self-Organizing of
Orientation Sensitive Cells in the Striate Cortex," Kybernetick,
Mano, M. M. (1979). Digital Logic and Computer Design,
Prentice-Hall, Englewood Cliffs, NJ.
Mao, J. and Jain, A. K. (1993). "Regularization Techniques
in Artificial Neural Networks," in Proc. World Congress on Neural
Networks (Portland 1993), vol. IV, 75-79. LEA, Hillsdale.
Marchand, M., Golea, M., and Rujan, P. (1990). "A
Convergence Theorem for Sequential Learning in Two-Layer Perceptrons,"
Europhysics Letters, 11, 487-492.
Marcus, C. M. and Westervelt, R. M. (1989). "Dynamics
of Iterated-Map Neural Networks," Physical Review A, 40(1),
Marcus, C. M., Waugh, F. R., and Westervelt, R. M. (1990).
"Associative Memory in an Analog Iterated-Map Neural Network,"
Physical Review A, 41(6), 3355-3364.
Marr, D. (1969). "A Theory of Cerebellar Cortex,"
J. Physiol. (London), 202, 437-470.
Martin, G. L. (1990). "Integrating Segmentation and
Recognition Stages for Overlapping Handprinted Characters," MCC Tech.
Rep. ACT-NN-320-90, Austin, Texas.
Martin, G. L. (1993). "Centered-Object Integrated
Segmentation and Recognition of Overlapping Handprinted Characters,"
Neural Networks, 5(3), 419-429.
Martin, G. L., and Pittman, J. A. (1991). "Recognizing
Hand-Printed Letters and Digits Using Backpropagation Learning," Neural
Computation, 3(2), 258-267.
Mays, C. H. (1964). "Effects of Adaptation Parameters
on Convergence Time and Tolerance for Adaptive Threshold Elements,"
IEEE Trans. Elec. Comp., EC-13, 465-468.
McCulloch, J. L. and Pitts, W. (1943). "A Logical
Calculus of Ideas Immanent in Nervous Activity," Bulletin of Mathematical
Biophysics, 5, 115-133.
McEliece, R. J., Posner, E. C., Rodemich, E. R., and Venkatesh,
S. S. (1987). "The Capacity of the Hopfield Associative Memory,"
IEEE Trans. Info. Theory, IT-33, 461-482.
McInerny, J. M., Haines, K. G., Biafore, S., and Hecht-Nielsen,
R. (1989). "Backpropagation Error Surfaces Can Have Local Minima,"
in International Joint Conference on Neural Networks (Washington
1989), vol. II, 627. IEEE, New York.
Mead, C. (1991). "Neuromorphic Electronic Systems,"
Aerospace and Defense Science, 10(2), 20-28.
Medgassy, P. (1961). Decomposition of Superposition
of Distributed Functions. Hungarian Academy of Sciences, Budapest.
Megiddo, N. (1986). "On the Complexity of Polyhedral
Separability," Tech. Rep. RJ 5252, IBM Almaden Research Center, San
Mel, B. W. and Omohundro, S. M. (1991). "How Receptive
Field Parameters Affect Neural Learning," in Advances in Neural
Information Processing Systems 3 (Denver 1990), R. P. Lippmann, J.
E. Moody, And D. S. Touretzky, Editors, 757-763. Morgan Kaufmann, San Mateo.
Metropolis, N., Rosenbluth, A., Teller, A., and Teller,
E. (1953). "Equation of State Calculations by Fast Computing Machines,"
J. Chemical Physics, 21(6), 1087-1092.
Mézard, M. and Nadal, J.-P. (1989). "Learning
in Feedforward Layered Networks: The Tiling Algorithm," Journal
of Physics A, 22, 2191-2204.
Micchelli, C. A. (1986). "Interpolation of Scattered
Data: Distance and Conditionally Positive Definite Functions," Constructive
Approximation, 2, 11-22.
Miller, G. F., Todd, P. M., and Hedg, S. U. (1989). "Designing
Neural Networks Using Genetic Algorithms," in Proceedings of the
Third International Conference on Genetic Algorithms (Arlington 1989),
J. D. Schaffer, Editor, 379-384. Morgan Kaufmann, San Mateo.
Miller, W. T., Sutton, R. S., and Werbos, P. J., Editors
(1990a). Neural Networks for Control. MIT Press, Cambridge.
Miller, W. T., Box, B. A., and Whitney, E. C. (1990b).
"Design and Implementation of a High Speed CMAC Neural Network Using
Programmable CMOS Logic Cell Arrays," Report No. ECE.IS.90.01, University
of New Hampshire.
Miller, W. T., Glanz, F. H., and Kraft, L. G. (1990c).
"CMAC: An Associative Neural Network Alternative to Backpropagation,"
Proc. IEEE, 78(10), 1561-1657.
Miller, W. T., Hewes, R. P., Glanz, F. H., and Kraft,
L. G. (1990d). "Real-Time Dynamic Control of an Industrial Manipulator
Using a Neural-Network-Based Learning Controller," IEEE Trans.
Robotics Automation, 6, 1-9.
Minsky, M. and Papert, S. (1969). Perceptrons: An Introduction
to Computational Geometry. MIT Press, Cambridge, MA.
Møller, M. F. (1990). "A Scaled Conjugate
Gradient Algorithm for Fast Supervised Learning," Technical Report
PB-339, Computer Science Department, University of Aarhus, Aarhus, Denmark.
Montana, D. J. and Davis, L. (1989). "Training Feedforward
Networks Using Genetic Algorithms," in Eleventh International Joint
Conference on Artificial Intelligence (Detroit 1989), N. S. Sridhara,
Editor, 762-767. Morgan Kaufmann, San Mateo.
Moody, J. (1989). "Fast Learning in Multi-Resolution
Hierarchies," in Advances in Neural Information Processing Systems
I (Denver 1988), D. S. Touretzky, Editor, 29-39. Morgan Kaufmann, San
Moody, J. and Darken, C. (1989a). "Learning with
Localized Receptive Fields," in Proceedings of the 1988 Connectionist
Models Summer School (Pittsburgh 1988), D. Touretzky, G. Hinton, and
T. Sejnowski, Editors, 133-143. Morgan Kaufmann, San Mateo.
Moody, J. and Darken, C. (1989b). "Fast Learning
in Networks of Locally-Tuned Processing Units," Neural Computation,
Moody, J. and Yarvin, N. (1992). "Networks with Learned
Unit Response Functions," in Advances in Neural Information Processing
Systems 4 (Denver 1991), J. E. Moody, S. J. Hanson, and R. P. Lippmann,
Editors, 1048-1055. Morgan Kaufmann, San Mateo.
Moore, B. (1989). "ART1 and Pattern Clustering,"
in Proceedings of the 1988 Connectionists Models Summer Schools
(Pittsburgh 1988), D. Touretzky, G. Hinton, and T. Sejnowski, Editors,
174-185. Morgan Kaufmann, San Mateo.
Morgan, N. and Bourlard, H. (1990). "Generalization
and Parameter Estimation in Feedforward Nets: Some Experiments," in
Advances in Neural Information Processing Systems 2 (Denver 1989),
D. S. Touretzky, Editor, 630-637. Morgan Kaufmann, San Mateo.
Morita, M. (1993). "Associative Memory with Nonmonotone
Dynamics," Neural Networks, 6(1), 115-126.
Morita, M., Yoshizawa, S., and Nakano, K. (1990a). "Analysis
and Improvement of the Dynamics of Autocorrelation Associative Memory,"
Trans. Institute Electronics, Information and Communication Engrs.,
Morita, M., Yoshizawa, S., and Nakano, K. (1990b). "Memory
of Correlated Patterns by Associative Neural Networks with Improved Dynamics,"
in Proc. INNC '90, Paris, vol. 2, 868-871.
Mosteller, F. and Tukey, J. (1980). Robust Estimation
Procedures. Addison-Wesley, New York.
Mosteller, F., Rourke, R. E., and Thomas Jr., G. B. (1970).
Probability with Statistical Applications, 2nd edition. Addison-Wesley,
Mukhopadhyay, S., Roy, A., Kim, L. S., and Govil, S. (1993).
"A Polynomial Time Algorithm for Generating Neural Networks for Pattern
Classification: Its Stability Properties and Some Test Results," Neural
Computation, 5(2), 317-330.
Muroga, S. (1959). "The Principle of Majority Decision
Logical Elements and the Complexity of their Circuits," Proc. Int.
Conf. on Information Processing, Paris, 400-407.
Muroga, S. (1965). "Lower Bounds of the Number of
Threshold Functions and a Maximum Weight," IEEE Trans. Elect. Comp.,
Muroga, S. (1971). Threshold Logic and its Applications.
John Wiley Interscience, New York, NY.
Musavi, M. T., Ahmed, W., Chan, K. H., Faris, K. B., and
Hummels, D. M. (1992). "On the Training of Radial Basis Function Classifiers,"
Neural Networks, 5(4), 595-603.