MLQD: A package for machine learning-based quantum dissipative dynamics.
Arif UllahPavlo O. DralPublished in: Comput. Phys. Commun. (2024)
Keyphrases
- machine learning
- machine learning methods
- computational intelligence
- pattern recognition
- semi supervised learning
- machine learning algorithms
- machine learning approaches
- natural language processing
- dynamic model
- inductive logic programming
- learning systems
- knowledge acquisition
- text classification
- dynamical systems
- learning tasks
- active learning
- learning algorithm
- quantum computing
- data mining
- quantum computation
- statistical methods
- model selection
- computational biology
- software package
- machine learning and data mining
- highly nonlinear
- information extraction
- support vector machine
- data analysis
- computer science
- artificial intelligence
- decision trees
- databases
- genetic algorithm
- recurrent networks
- quantum mechanics
- supervised machine learning
- initial conditions
- information systems
- feature selection
- unsupervised learning
- support vector
- knowledge representation
- kernel methods
- text mining
- data sets