Improving backfilling by using machine learning to predict running times.
Éric GaussierDavid GlesserValentin ReisDenis TrystramPublished in: SC (2015)
Keyphrases
- running times
- machine learning
- times faster
- worst case
- lower bound
- pattern recognition
- machine learning methods
- machine learning algorithms
- active learning
- inductive learning
- text classification
- machine learning approaches
- feature selection
- learning algorithm
- information systems
- data mining
- knowledge acquisition
- machine learning and data mining
- natural language processing
- learning tasks
- artificial intelligence
- real time
- search engine
- data analysis
- computer vision
- learning problems
- decision trees
- statistical methods
- predicting future
- application of machine learning methods
- learning systems
- text mining
- supervised learning
- reinforcement learning
- multiscale
- knowledge base
- information retrieval
- real world
- neural network
- databases