TERA: optimizing stochastic regression tests in machine learning projects.
Saikat DuttaJeeva SelvamAryaman JainSasa MisailovicPublished in: ISSTA (2021)
Keyphrases
- machine learning
- classification and regression problems
- simple linear
- model selection
- learning automata
- data mining
- stochastic optimization
- case study
- machine learning algorithms
- machine learning methods
- regression model
- semi supervised learning
- supervised learning
- learning algorithm
- regression analysis
- ridge regression
- knowledge acquisition
- massive amounts
- pattern recognition
- knowledge discovery
- explanation based learning
- gaussian processes
- support vector regression
- survival analysis
- kernel methods
- text mining
- computer science
- text classification
- decision trees
- polynomial regression
- regression algorithm
- learning problems
- inductive learning
- computer vision
- data analysis
- information extraction
- support vector machine
- regression problems
- stochastic model
- neural network
- locally weighted
- information retrieval
- knowledge representation
- statistical tests
- linear regression
- learning tasks
- monte carlo
- reinforcement learning
- data sets
- software development
- computational intelligence