Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates.
Muhammad R. HasyimClay H. BattonKranthi K. MandadapuPublished in: CoRR (2021)
Keyphrases
- experimental evaluation
- basis functions
- supervised learning
- high precision
- objective function
- preprocessing
- synthetic data
- detection algorithm
- theoretical analysis
- unsupervised learning
- cross validation
- segmentation method
- optimization algorithm
- segmentation algorithm
- support vector machine svm
- data sets
- high accuracy
- dynamic programming
- significant improvement
- reinforcement learning
- bayesian networks