Pages that link to "Item:Q2505847"
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The following pages link to Support vector machines and gradient boosting for graphical estimation of a slate deposit (Q2505847):
Displaying 7 items.
- Generalized linear spatial models to predict slate exploitability (Q364424) (← links)
- Use of machine learning techniques to analyse the risk associated with mine sludge deposits (Q409805) (← links)
- Variography for model selection in local polynomial regression with spatial data (Q812061) (← links)
- Creating a quality map of a slate deposit using support vector machines (Q879412) (← links)
- Partially linear support vector machines applied to the prediction of mine slope movements (Q984150) (← links)
- Machine learning techniques applied to the construction of a new geomechanical quality index (Q3008384) (← links)
- A machine learning methodology for the analysis of workplace accidents (Q5459739) (← links)
