Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs.
Xiaoxi ZhangJianyu WangLi-Feng LeeTom YangAkansha KalraGauri JoshiCarlee Joe-WongPublished in: IEEE/ACM Trans. Netw. (2022)
Keyphrases
- machine learning
- machine learning algorithms
- cost benefit
- randomly generated
- machine learning methods
- pattern recognition
- convergence rate
- total cost
- decision trees
- text classification
- expected cost
- computational intelligence
- convergence speed
- artificial intelligence
- reinforcement learning
- training instances
- iterative algorithms
- active learning
- lower bound
- data mining
- learning systems
- explanation based learning
- learning algorithm
- cost sensitive learning
- cost savings
- cost reduction
- learning problems
- kernel methods
- semi supervised learning
- knowledge acquisition
- natural language processing
- semi supervised
- information extraction
- knowledge discovery
- knowledge representation
- computer science
- database systems