Insubordinate 发表于 2025-4-1 04:12:33

Unmixing Mineral Spectra Using a Neural Net with Maximum Entropy Regularization,ions of a set of reference spectra. To do this, we train a neural net, the distributed associative memory , to remember the reference spectra. If the reference spectra are linearly independent, and in particular, if the number of features characterizing the spectra is greater than the number of

不要严酷 发表于 2025-4-1 08:15:37

Bayesian Mixture Modeling,bits the true Bayesian predictive distribution, implicitly integrating over the entire underlying parameter space. An infinite number of mixture components can be accommodated without difficulty, using a prior distribution for mixing proportions that selects a reasonable subset of components to expl

arterioles 发表于 2025-4-1 12:14:48

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Deduct 发表于 2025-4-1 16:19:33

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查看完整版本: Titlebook: Maximum Entropy and Bayesian Methods; Seattle, 1991 C. Ray Smith,Gary J. Erickson,Paul O. Neudorfer Book 1992 Springer Science+Business Med