Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...

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A proof-of-concept study in Bangladesh shows a Tree-Augmented Naive Bayes model using routine complete blood count data ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

The main scripts automatically choose CUDA when available, then Apple Metal (MPS), and otherwise CPU, through train_utils.get_best_device(). Training the approximately 30-million-parameter networks ...