SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs

Probabilistic models are receiving increasing attention as a complementary alternative to more widespread machine learning approaches, such as neural networks. One particularly interesting class of models are so-called Sum-Product Networks (SPN), which combine the expressiveness of probabilistic models with tractable inference, making them an interesting candidate for use in real-world application...