Acceleration of probabilistic reasoning through custom processor architecture.
Nimish ShahLaura Isabel Galindez OlascoagaWannes MeertMarian VerhelstPublished in: DATE (2020)
Keyphrases
- probabilistic reasoning
- bayesian networks
- probabilistic inference
- reasoning under uncertainty
- first order logic
- parallel architecture
- probabilistic logic
- belief networks
- default reasoning
- instruction set
- parallel processing
- constraint satisfaction
- logic programming
- application specific
- knowledge representation
- high level
- domain specific
- higher order
- neural network
- artificial intelligence
- markov logic networks
- constraint satisfaction problems
- np complete
- general purpose
- software engineering
- dynamic programming
- training data
- learning algorithm