Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
The following is the textbook used for the Scientific Computing for Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and ...
It has been proposed by E. Gelenbe in 1989. A Random Neural Network is a compose of Random Neurons and Spikes that circulates through the network. According to this model, each neuron has a positive ...
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