-
2
-
-
33847366031
-
-
S. Astakhov, P. Grassberger, A. Kraskov, H. Stögbauer, MILCA-Mutual Information Least-dependent Component Analysis, software implementation package available from 〈http://www.klab.caltech.edu/~kraskov/MILCA/〉.
-
-
-
-
3
-
-
0345328110
-
-
N. Benoudjit, M. Verleysen, On the kernel widths in radial-basis function networks, Neural Processing Letters, Kluwer Academic Publishers, Dordrecht, MA, vol. 18(2), 2003, pp. 139-154.
-
-
-
-
5
-
-
0001874436
-
Practical method for determining the minimum embedding dimension of a scalar time series
-
Cao L. Practical method for determining the minimum embedding dimension of a scalar time series. Physica D 110 (1997) 43-50
-
(1997)
Physica D
, vol.110
, pp. 43-50
-
-
Cao, L.1
-
8
-
-
34548696055
-
Independent coordinates for strange attractors from mutual information
-
Fraser A.M., and Swinney H.L. Independent coordinates for strange attractors from mutual information. Phys. Rev. A 33 (1986) 1134-1140
-
(1986)
Phys. Rev. A
, vol.33
, pp. 1134-1140
-
-
Fraser, A.M.1
Swinney, H.L.2
-
9
-
-
40749093037
-
Measuring the strangeness of strange attractors
-
Grassberger P., and Procaccia I. Measuring the strangeness of strange attractors. Physica D 9 (1983) 189-208
-
(1983)
Physica D
, vol.9
, pp. 189-208
-
-
Grassberger, P.1
Procaccia, I.2
-
10
-
-
25144480349
-
-
Y. Ji, J. Hao, N. Reyhani, A. Lendasse, Direct and Recursive Prediction of Time Series Using Mutual Information Selection, in: J. Cabestany, A. Prieto, F. Sandoval (Eds.), Proceedings of International Workshop on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8-10, Computational Intelligence and Bioinspired Systems, Lecture Notes in Computer Science, vol. 3512, Springer, Berlin, pp. 1010-1017.
-
-
-
-
11
-
-
0003915006
-
-
Cambridge University Press, Cambridge
-
Kantz H., and Schreiber T. Nonlinear Time Series Analysis, Cambridge Nonlinear Science Series, vol. 7 (1997), Cambridge University Press, Cambridge
-
(1997)
Nonlinear Time Series Analysis, Cambridge Nonlinear Science Series, vol. 7
-
-
Kantz, H.1
Schreiber, T.2
-
12
-
-
35949006791
-
Determining minimum embedding dimension using a geometrical construction
-
Kennel M.B., Brown R., and Abarbanel H.D.I. Determining minimum embedding dimension using a geometrical construction. Phys. Rev. A 45 (1992) 3403-3411
-
(1992)
Phys. Rev. A
, vol.45
, pp. 3403-3411
-
-
Kennel, M.B.1
Brown, R.2
Abarbanel, H.D.I.3
-
14
-
-
0035008423
-
Attractor reconstruction for non-linear systems: a methodological note
-
Nichols J.M., and Nicholsb J.D. Attractor reconstruction for non-linear systems: a methodological note. Math. Biosci. 171 1 (2001) 21-32
-
(2001)
Math. Biosci.
, vol.171
, Issue.1
, pp. 21-32
-
-
Nichols, J.M.1
Nicholsb, J.D.2
-
16
-
-
84886993129
-
Mutual information and gamma test for input selection
-
Bruges, Belgium
-
Reyhani N., Hao J., Ji Y., and Lendasse A. Mutual information and gamma test for input selection. Proceedings of European Symposium on Artificial Neural Networks, ESANN 2005 (April 26-28, 2005), Bruges, Belgium 503-504
-
(2005)
Proceedings of European Symposium on Artificial Neural Networks, ESANN 2005
, pp. 503-504
-
-
Reyhani, N.1
Hao, J.2
Ji, Y.3
Lendasse, A.4
-
18
-
-
84970878719
-
Lag selection for regression models using high-dimensional mutual information
-
Bruges, Belgium
-
Simon G., and Verleysen M. Lag selection for regression models using high-dimensional mutual information. Proceedings of European Symposium on Artificial Neural Networks, ESANN 2006 (April 26-28, 2006), Bruges, Belgium 395-400
-
(2006)
Proceedings of European Symposium on Artificial Neural Networks, ESANN 2006
, pp. 395-400
-
-
Simon, G.1
Verleysen, M.2
-
19
-
-
33646231252
-
-
A. Sorjamaa, J. Hao, A. Lendasse, Mutual information and k-nearest neighbors approximator for time series predictions, in: W. Duch, J. Kacprzyk, E. Oja, S. Zadrozny (Eds.), Proceedings of International Conference on Artificial Neural Networks, ICANN'05, Warsaw, Poland, September 11-15, Artificial Neural Networks: Formal Models and Their Applications, Lecture Notes in Computer Science, vol. 3697, Springer, Berlin, 2005, pp. 553-558.
-
-
-
-
20
-
-
25144447299
-
-
A. Sorjamaa, N. Reyhani, A. Lendasse, Input and structure selection for k-NN approximator, in: J. Cabestany, A. Prieto, F. Sandoval (Eds.), Proceedings of International Workshop on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8-10, Computational Intelligence and Bioinspired Systems, Lecture Notes in Computer Science, vol. 3512, Springer, Berlin, 2005, pp. 985-991.
-
-
-
-
21
-
-
0000779360
-
Detecting strange attractors in turbulence
-
Rand D.A., and Young L.S. (Eds), Springer, Berlin
-
Takens F. Detecting strange attractors in turbulence. In: Rand D.A., and Young L.S. (Eds). Dynamical Systems and Turbulence, Lecture Notes in Mathematics, vol. 898 (1981), Springer, Berlin
-
(1981)
Dynamical Systems and Turbulence, Lecture Notes in Mathematics, vol. 898
-
-
Takens, F.1
-
22
-
-
0003410303
-
-
Addison-Wesley Publishing Company, New York
-
Weigend A., and Gershenfeld N. Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute, MA (1994), Addison-Wesley Publishing Company, New York
-
(1994)
Time Series Prediction: Forecasting the Future and Understanding the Past, Santa Fe Institute, MA
-
-
Weigend, A.1
Gershenfeld, N.2
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