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Found 9 papers, 2 papers with code
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential
These include (i) insufficient consideration of spatio-temporal correlations in wind-speed data, (ii) a lack of existing methodologies to quantify the uncertainty of wind speed prediction and its propagation to the wind-power estimation, and (iii) a focus on less than hourly frequencies.
A survey of active learning algorithms for supervised remote sensing image classification
Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines.
Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
Uncertainty quantification is crucial to assess prediction quality of a machine learning model.
On Feature Selection Using Anisotropic General Regression Neural Network
The presence of irrelevant features in the input dataset tends to reduce the interpretability and predictive quality of machine learning models.
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning
As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming more aware of the relevance of their work to help tackle the climate crisis.
Multifractal analysis of the time series of daily means of wind speed in complex regions
In this paper, we applied the multifractal detrended fluctuation analysis to the daily means of wind speed measured by 119 weather stations distributed over the territory of Switzerland.
Unsupervised Feature Selection Based on Space Filling Concept
It is implemented in a filter algorithm for unsupervised feature selection problems.
Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension
This paper deals with a new filter algorithm for selecting the smallest subset of features carrying all the information content of a data set (i. e. for removing redundant features).
Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension
It can identify relevant features and distinguish between redundant and irrelevant information.
