An Atomistic Machine Learning Package for Surface Science and Catalysis.
Martin Hangaard HansenJosé A. Garrido TorresPaul C. JenningsZiyun WangJacob R. BoesOsman G. MamunThomas BligaardPublished in: CoRR (2019)
Keyphrases
- machine learning
- computer science
- artificial intelligence
- data mining
- three dimensional
- machine learning methods
- machine learning algorithms
- surface reconstruction
- pattern recognition
- text classification
- d objects
- knowledge acquisition
- surface shape
- machine learning approaches
- learning systems
- computational intelligence
- information extraction
- active learning
- computer vision
- decision trees
- natural language processing
- interdisciplinary field
- learning algorithm
- smooth surfaces
- free form
- object surface
- feature selection
- model selection
- knowledge representation
- learning tasks
- learning problems
- range data
- inductive logic programming
- inductive learning
- statistical methods
- natural language
- reconstruction method
- object recognition
- data analysis
- surface geometry
- surface fitting
- text mining