On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications.
Andréa M. MatsunagaJosé A. B. FortesPublished in: CCGRID (2010)
Keyphrases
- machine learning
- limited resources
- resource allocation
- information extraction
- pattern recognition
- data mining
- machine learning methods
- feature selection
- neural network
- computing resources
- computational biology
- learning algorithm
- explanation based learning
- real world
- decision trees
- supervised learning
- text classification
- learning systems
- resource management
- reinforcement learning
- inductive learning
- inductive logic programming
- artificial intelligence
- real time
- resource constraints
- learning classifier systems
- machine learning approaches
- learning tasks
- kernel methods
- statistical methods
- computer vision
- model selection
- knowledge acquisition
- computational intelligence
- knowledge discovery
- knowledge representation
- active learning
- computer science