High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria
暂无分享,去创建一个
[1] Amaury Lendasse,et al. Mutual information and gamma test for input selection , 2005, ESANN.
[2] M. Kenward,et al. An Introduction to the Bootstrap , 2007 .
[3] J M Nichols,et al. Attractor reconstruction for non-linear systems: a methodological note. , 2001, Mathematical biosciences.
[4] Mehmet Emre Çek,et al. Analysis of observed chaotic data , 2004 .
[5] Fraser,et al. Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.
[6] Michel Verleysen,et al. Lag selection for regression models using high-dimensional mutual information , 2006, ESANN.
[7] H. Kantz,et al. Nonlinear time series analysis , 1997 .
[8] Amaury Lendasse,et al. Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction , 2005, ICANN.
[9] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[10] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[11] Amaury Lendasse,et al. Input and Structure Selection for k-NN Approximator , 2005, IWANN.
[12] A. Kraskov,et al. Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[13] L. Cao. Practical method for determining the minimum embedding dimension of a scalar time series , 1997 .
[14] Michel Verleysen,et al. On the Kernel Widths in Radial-Basis Function Networks , 2003, Neural Processing Letters.
[15] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .
[16] H. Abarbanel,et al. Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[17] Mark J. L. Orr. Optimising the widths of radial basis functions , 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).
[18] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[19] F. Takens. Detecting strange attractors in turbulence , 1981 .
[20] Amaury Lendasse,et al. Direct and Recursive Prediction of Time Series Using Mutual Information Selection , 2005, IWANN.
[21] Alexander Kraskov,et al. Least-dependent-component analysis based on mutual information. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.