Abstract: In a recent paper [1], we introduced the fuzzy Bayesian learning paradigm where expert opinions can be encoded in the form of fuzzy rule bases and the hyper-parameters of the fuzzy sets can ...

Reference implementation for a variational autoencoder in TensorFlow and PyTorch. I recommend the PyTorch version. It includes an example of a more expressive variational family, the inverse ...

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

Old ideas die hard, but some ideas die harder than others. Like Hans hanging out the top floor window of Nakatomi Plaza, ideas like Locational Marginal Pricing, or the belief in the need for ‘baseload ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, ...

Marginal benefit represents the additional satisfaction or utility a consumer receives when consuming an additional unit of a good or service. This concept is vital in economics because it helps ...