Adapting Convergent Scheduling Using Machine-Learning.
Diego PuppinMark StephensonSaman P. AmarasingheMartin C. MartinUna-May O'ReillyPublished in: LCPC (2003)
Keyphrases
- machine learning
- scheduling problem
- machine learning methods
- machine learning algorithms
- pattern recognition
- text mining
- inductive logic programming
- scheduling algorithm
- round robin
- data analysis
- learning problems
- machine learning and data mining
- case study
- knowledge discovery
- computer science
- data mining
- computational intelligence
- learning systems
- model selection
- learning algorithm
- computational biology
- scheduling strategy
- data sets
- inductive learning
- project scheduling
- real time database systems
- dynamic scheduling
- unsupervised learning
- knowledge acquisition
- response time
- natural language processing
- information extraction
- active learning
- lower bound
- optimal solution
- search engine