Resource Elasticity for Large-Scale Machine Learning.
Botong HuangMatthias BoehmYuanyuan TianBerthold ReinwaldShirish TatikondaFrederick R. ReissPublished in: SIGMOD Conference (2015)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- machine learning algorithms
- knowledge acquisition
- real world
- supervised machine learning
- explanation based learning
- resource management
- web scale
- transfer learning
- computer vision
- reinforcement learning
- machine learning approaches
- soft tissue
- small scale
- resource selection
- text classification
- text mining
- database
- web resources
- active learning
- natural language
- decision trees
- resource constraints
- artificial intelligence
- learning algorithm
- databases
- information extraction
- learning problems
- learning tasks
- model selection
- natural language processing
- knowledge representation
- real life
- feature space
- computer science
- feature selection
- neural network
- data sets
- real time