Accelerating Machine Learning Inference with Probabilistic Predicates.
Yao LuAakanksha ChowdherySrikanth KandulaSurajit ChaudhuriPublished in: SIGMOD Conference (2018)
Keyphrases
- machine learning
- bayesian networks
- inference process
- belief networks
- probabilistic reasoning
- bayesian reasoning
- logical inference
- probabilistic networks
- probabilistic model
- learning algorithm
- pattern recognition
- inductive learning
- probabilistic inference
- generative model
- machine learning methods
- monotonicity constraints
- natural language processing
- machine learning algorithms
- feature selection
- factor graphs
- computer vision
- text classification
- statistical methods
- probabilistic logic
- statistical inference
- data analysis
- variable elimination
- data mining
- knowledge representation
- semi supervised learning
- knowledge acquisition
- graphical models
- markov logic networks
- computer science
- handling uncertainty
- bayes nets
- knowledge discovery
- supervised learning
- computational intelligence
- statistical relational learning
- inductive logic programming
- artificial intelligence
- explanation based learning
- user defined
- learning problems
- posterior probability