Information theory
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Information theory, inference, and learning algorithms
1. Data. 2. Noisy-channel coding. 3. Further topics introduction theory. Probabilities and inference. 5. Neural networks. 6. Sparse graph codes. 7. Appendices.
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Physiology, promiscuity, and prophecy at the millennium : a tale of tails
This text concerns the development of a theory of complex phenomena, using such concepts as fractals, chaos and fractional derivatives; but, most importantly, the idea of an allometric control process is developed.
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Elements of information theory : 2nd ed.
Introduction entropy, relative entropy, and mutual information; Asym ptotic equipartition property; Entropy rates of a stochastic process; Data compression; Gambling and data compression; Channel capacity; Differential entropy; Gaussian chanel; Rate distortion theory; Information theory and ...
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