Probabilistic accuracy bounds for perforated programs: a new foundation for program analysis and transformation.
Martin C. RinardPublished in: PEPM (2011)
Keyphrases
- high accuracy
- accuracy rate
- bayesian networks
- computational cost
- error rate
- generative model
- lower bound
- probabilistic model
- prediction accuracy
- neural network
- transformation rules
- highly accurate
- posterior probability
- precision and recall
- classification accuracy
- machine learning
- data driven
- worst case
- upper bound
- database systems
- uncertain data
- learning algorithm
- data sets