Automatic feature generation for machine learning-based optimising compilation.
Hugh LeatherEdwin V. BonillaMichael F. P. O'BoylePublished in: ACM Trans. Archit. Code Optim. (2014)
Keyphrases
- feature generation
- machine learning
- inductive learning
- text categorization
- word sense disambiguation
- statistical approaches
- inductive logic programming
- information extraction
- feature construction
- generation method
- feature representations
- statistical modeling
- semantic features
- selection strategy
- active learning
- learning algorithm
- knn
- data mining
- constructive induction
- background knowledge
- machine learning algorithms
- wordnet
- unsupervised learning
- k nearest neighbor
- knowledge acquisition
- text classification
- text mining
- natural language processing
- probabilistic model
- natural language
- feature selection