Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System.
Julian ArnoldJuan Carlos San Vicente VelizDebasish KonerNarendra SinghRaymond J. BemishMarkus MeuwlyPublished in: CoRR (2021)
Keyphrases
- machine learning
- state transitions
- active learning
- state variables
- data mining
- probability distribution
- state information
- collision avoidance
- initial state
- finite state machines
- inductive learning
- random variables
- model selection
- natural language
- machine learning algorithms
- markov chain
- machine learning methods
- knowledge acquisition
- text classification
- semi supervised
- transition probabilities
- state space
- pattern recognition
- reinforcement learning