: experience-driven scheduling in machine learning clusters.
Yifan GongBaochun LiBen LiangZheng ZhanPublished in: IWQoS (2019)
Keyphrases
- machine learning
- hierarchical clustering
- pattern recognition
- cluster analysis
- scheduling problem
- artificial intelligence
- machine learning algorithms
- scheduling algorithm
- knowledge acquisition
- data driven
- learning systems
- information extraction
- clustering algorithm
- data mining
- learning problems
- resource allocation
- inductive learning
- round robin
- computational intelligence
- supervised learning
- feature selection
- model selection
- unsupervised clustering
- machine learning approaches
- kernel methods
- computer vision
- knowledge discovery
- data clustering
- computer science
- fuzzy clustering
- information retrieval
- parallel machines
- user experience
- statistical methods
- natural language processing
- text mining
- unsupervised learning