Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns.
M. Z. NaserV. K. KodurPublished in: CoRR (2021)
Keyphrases
- machine learning
- real world
- information extraction
- neural network
- data analysis
- pattern recognition
- decision trees
- computer vision
- data mining
- real time
- case study
- database systems
- reinforcement learning
- learning algorithm
- machine learning approaches
- learning systems
- supervised machine learning
- machine learning and data mining
- floating point
- computational biology
- inductive logic programming
- learning tasks
- machine learning methods
- semi supervised learning
- computational intelligence
- active learning
- real life
- multi agent
- training data