Machine Learning Hyperparameter Fine Tuning Service on Dynamic Cloud Resource Allocation System - taking Heart Sounds as an Example.
Yu-Hsiang PengChia-Chuan ChuangZhou-Jin WuChia-Wei ChouHui-Shan ChenTing-Chia ChangYi-Lun PanHsin-Tien ChengChih-Chi ChungKen-Yu LinPublished in: ISBDAI (2018)
Keyphrases
- fine tuning
- machine learning
- model selection
- cloud computing
- fine tuned
- fine tune
- viable alternative
- dynamic resource allocation
- decision trees
- resource management
- hyperparameters
- service providers
- dynamic environments
- pattern recognition
- active learning
- grid environment
- virtual organization
- management system
- end users
- sound signals
- resource usage
- cloud computing environment
- data mining
- service oriented
- learning tasks
- machine learning methods
- resource allocation
- cross validation
- machine learning algorithms
- knowledge acquisition
- maximum likelihood
- text classification
- natural language processing
- supervised learning
- web services
- learning algorithm