A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms.
Muratkan MadiyarovNurlan TemirbekovNurlana AlimbekovaYerzhan MalgazhdarovYerlan YergaliyevPublished in: Comput. (2023)
Keyphrases
- machine learning algorithms
- parameter estimation
- benchmark data sets
- machine learning
- learning algorithm
- maximum likelihood
- model selection
- markov random field
- least squares
- learning problems
- predictive accuracy
- machine learning methods
- em algorithm
- statistical models
- decision trees
- expectation maximization
- machine learning models
- parameter estimation algorithm
- maximum likelihood estimates
- machine learning approaches
- estimation problems
- random fields
- posterior distribution
- model fitting
- random forests
- gaussian distribution
- data sets
- machine learning systems
- real world
- feature selection
- learning models
- parameter estimates
- training data
- bayesian networks
- active learning
- probability distribution