On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML.
Matthias BoehmBerthold ReinwaldDylan HutchisonPrithviraj SenAlexandre V. EvfimievskiNiketan PansarePublished in: Proc. VLDB Endow. (2018)
Keyphrases
- machine learning
- small scale
- computer vision
- learning algorithm
- data mining
- information fusion
- machine learning methods
- information extraction
- real world
- natural language processing
- model selection
- partially ordered
- planning problems
- machine learning algorithms
- active learning
- real life
- decision trees
- statistical methods
- artificial intelligence
- plan recognition
- inductive learning
- feature selection
- plan generation
- text mining
- sensor fusion
- plan execution
- explanation based learning
- pattern recognition
- inductive logic programming
- learning tasks
- supervised learning
- knowledge acquisition