SAMUS: Slice-Aware Machine Learning-based Ultra-Reliable Scheduling.
Caner BektasDennis OverbeckChristian WietfeldPublished in: ICC (2021)
Keyphrases
- machine learning
- scheduling problem
- high speed
- machine learning algorithms
- scheduling algorithm
- machine learning methods
- learning algorithm
- resource allocation
- decision trees
- natural language processing
- knowledge acquisition
- explanation based learning
- information extraction
- text mining
- active learning
- dynamic scheduling
- data analysis
- real time database systems
- data mining
- supervised machine learning
- machine learning and data mining
- cost effective
- resource constraints
- learning problems
- inductive learning
- pattern recognition
- computational grids
- parallel machines
- machine learning approaches
- kernel methods
- statistical methods
- learning systems
- text classification
- knowledge representation
- lower bound
- artificial intelligence