What do we do when the jobs are gone, and why we must embrace active learning.
Moshe Y. VardiMark GuzdialPublished in: Commun. ACM (2015)
Keyphrases
- active learning
- processing times
- supervised learning
- job scheduling
- training set
- machine learning
- labeled data
- semi supervised
- active learning strategies
- pool based active learning
- unlabeled data
- training examples
- learning strategies
- learning process
- flowshop
- selective sampling
- single machine scheduling problem
- parallel machines
- learning algorithm
- random sampling
- transfer learning
- release times
- experimental design
- scheduling policies
- batch mode
- relevance feedback
- setup times
- release dates
- minimize total
- identical machines
- precedence constraints
- support vector machine
- annotation effort
- preemptive scheduling
- scheduling problem
- imbalanced data classification