Blind source separation using algorithmic information theory
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[1] A. Hyvarinen,et al. On existence and uniqueness of solutions in nonlinear independent component analysis , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[2] H. Lappalainen,et al. Using an MDL-based cost function with neural networks , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
[3] Shun-ichi Amari,et al. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information , 1997, Neural Computation.
[4] Jürgen Schmidhuber,et al. Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability , 1997, Neural Networks.
[5] C. Fyfe,et al. Generalised independent component analysis through unsupervised learning with emergent Bussgang properties , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[6] Shun-ichi Amari,et al. Independent component analysis by the information-theoretic approach with mixture of densities , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[7] H. Yangy,et al. Information Back-propagation for Blind Separation of Sources in Non-linear Mixture , 1997 .
[8] Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
[9] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[10] Andrzej Cichocki,et al. Robust learning algorithm for blind separation of signals , 1994 .
[11] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[12] Ming Li,et al. An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.
[13] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[14] H. B. Barlow,et al. Unsupervised Learning , 1989, Neural Computation.
[15] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[16] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[17] Abraham Lempel,et al. A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.
[18] A. Kolmogorov. Three approaches to the quantitative definition of information , 1968 .
[19] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part II , 1964, Inf. Control..
[20] Ray J. Solomonoff,et al. A Formal Theory of Inductive Inference. Part I , 1964, Inf. Control..