Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan.
Pei-Yi WongChin-Yu HsuJhao-Yi WuTee-Ann TeoJen-Wei HuangHow-Ran GuoHuey-Jen SuChih-Da WuJohn D. SpenglerPublished in: Environ. Model. Softw. (2021)
Keyphrases
- machine learning algorithms
- spatial temporal
- benchmark data sets
- learning algorithm
- machine learning
- decision trees
- learning problems
- action recognition
- temporal information
- machine learning methods
- spatio temporal
- spatial and temporal
- random forests
- video shots
- machine learning models
- spatial information
- machine learning approaches
- data mining
- standard machine learning algorithms
- human actions
- space time
- low level
- high dimensional
- moving objects
- data sets