Abstract: This article introduces the Bayesian probabilistic fuzzy neural network (BPFNN), a unified architecture designed to overcome the challenges of conventional fuzzy clustering and neural ...
ITILA is unusual in teaching information theory, error-correcting codes, and Bayesian inference as one subject, with algorithms as the through-line. This repository implements that algorithmic core in ...
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High-frequency spike inference with particle Gibbs sampling Giovanni Diana, B Semihcan Sermet ... David A DiGregorio A Bayesian particle Gibbs framework enables unbiased spike time inference with ...