Biomedical Engineering Reference
In-Depth Information
45.
Ozturk, M.C., D. Xu, and J.C. Principe,
Analysis and Design of Echo State Network for Function
Approximation
. Neural Computation, 2006.
19
: pp. 111-138.
Farmer, J.D., and J.J. Sidorowich,
Predicting chaotic time series
. Physical Review Letters, 1987.
50
: pp. 845-848.
doi:10.1103/PhysRevLett.59.845
Jacobs, R., et al.,
Adaptive mixture of local experts
. Neural Computation, 1991.
3
: pp. 79-87.
Fancourt, C., and J.C. Principe.
Temporal self-organization through competitive prediction
, in
ICASSP. 1996.
doi:10.1109/ICASSP.1997.595505
Cho, J., et al.,
Self-organizing maps with dynamic learning for signal reconstruction
. Neural Net-
works, 2007.
20
(2): pp. 274-284.
doi:10.1016/j.neunet.2006.12.002
Jordan, M.I., and R.A. Jacobs,
Hierarchical mixtures of experts and the EM algorithm
. Neural
Computation, 1994.
6
: pp. 181-214.
doi:10.1109/IJCNN.1993.716791
Weigend, A.S., M. Mangeas, and A.N. Srivastava,
Nonlinear gated experts for time-series—
Discovering regimes and avoiding overfitting.
. International Journal of Neural Systems, 1995.
6
(4): pp. 3773-399.
Zeevi, A.J., T. Meir, and V. Maiorov,
Error bounds for functional approximation and estimation using
mixtures of experts
. IEEE Transactions on Information Theory, May 1998.
44
: pp. 1010-1025.
Jacobs, R.A., et al.,
Adaptive mixtures of local experts
. Neural Computation, 1991.
3
: pp. 1-12.
Fancourt, C., and J.C. Principe,
Competitive principal component analysis for locally stationary
time series
. IEEE Transactions on Signal Processing, 1998.
46
(11): pp. 3068-3081.
Pawelzik, K., J. Kohlmorgen, and K.-R. Muller,
Annealed competition of experts for a segmen-
tation and classification of switching dynamics
. Neural Computation, 1996.
(2): pp. 340-356.
Kohonen, T.,
Analysis of a simple self-organizing process
. Biological Cybernetics, 1982.
44
(2):
pp. 135-140.
doi:10.1162/089976606774841585
Wu, W., et al.,
Bayesian population decoding of motor cortical activity using a Kalman filter.
. Neural
Computation, 2005.
1
: pp. 80-118.
46.
47.
48.
49.
50.
51.
52.
53.
54.
55.
56.
57.
• • • •
