Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning.
Rohitash ChandraSally CrippsNathaniel ButterworthR. Dietmar MüllerPublished in: Environ. Model. Softw. (2021)
Keyphrases
- machine learning
- climate data
- bayesian networks
- machine learning methods
- learning tasks
- machine learning algorithms
- climate change
- machine learning approaches
- long term
- short term
- data mining
- statistical inference
- reconstructed image
- data driven
- data analysis
- neural network
- gaussian processes
- feature selection
- knowledge acquisition
- statistical methods
- pattern recognition
- covariate shift
- reconstruction error
- computer vision
- artificial intelligence
- three dimensional
- bayesian estimation
- semi supervised learning
- reconstruction process
- high resolution
- computational intelligence
- natural language processing
- compressed sensing
- bayesian learning
- learning algorithm
- reconstruction method
- discrete tomography
- bayesian inference
- decision theory
- explanation based learning
- bayesian methods
- computational biology
- active learning
- posterior probability
- reinforcement learning
- image reconstruction
- model selection
- text mining
- supervised learning
- knowledge discovery
- knowledge representation