Practical aggregation of semantical program properties for machine learning based optimization.
Mircea NamolaruAlbert CohenGrigori FursinAyal ZaksAri FreundPublished in: CASES (2010)
Keyphrases
- machine learning
- feature selection
- text mining
- optimization algorithm
- machine learning algorithms
- knowledge acquisition
- theoretical underpinnings
- optimization approaches
- constrained optimization
- global optimization
- learning tasks
- machine learning methods
- test cases
- optimization problems
- pattern recognition
- computational intelligence
- case study
- database
- data sets
- computer programs
- artificial intelligence
- optimization process
- desirable properties
- structural properties
- optimization methods
- inductive learning
- reinforcement learning
- optimization method
- expert systems
- active learning
- information extraction
- supervised learning
- natural language processing