Multitask machine learning of collective variables for enhanced sampling of rare events.
Lixin SunJonathan VandermauseSimon L. BatznerYu XieDavid ClarkWei ChenBoris KozinskyPublished in: CoRR (2020)
Keyphrases
- multi task
- rare events
- machine learning
- learning tasks
- importance sampling
- learning problems
- multi task learning
- transfer learning
- feature selection
- monte carlo
- minority class
- class imbalance
- fraud detection
- machine learning algorithms
- sampling methods
- supervised learning
- distributed data
- active learning
- random sampling
- sample size
- learning algorithm
- multi class
- support vector machine
- model selection
- information extraction
- class distribution
- labeled data
- data mining
- reinforcement learning
- markov chain
- text classification
- text mining
- learning models
- inductive learning
- kernel methods
- prior knowledge
- association rules
- unsupervised learning
- multi label
- data sets