A data-driven shale gas production forecasting method based on the multi-objective random forest regressionShale gasProduction forecastingMachine learningRandom forestShale gas is an important unconventional na
Conformalized temporal convolutional quantile regression networks for wind power interval forecasting 2022, Energy Citation Excerpt : Wang et al. proposed a hybrid model for wind power interval prediction using GRU and variational mode decomposition [27]. Zhou et al. designed a multi-objective optimizat...
indicating that children inherit to a large extent their parents’ nutritional status33,34. These predictors may be interesting in order to use them in predictive models for obesity even before birth, and as a matter
So far, these more advanced approaches have largely focused onsingle-objectiveHPO problems.Multi-objectiveoptimization is particularly relevant in HPO, as different conflicting objectives may be important for the analyst (e.g., the error-based performance of the target ML algorithm, inference time, m...
Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western Sicily, Italy). Geomorphology 242, 49–64. [28] Costanzo, D., Rotigliano, E., Irigaray, C., Jim enez-Per alvarez, J.D.,...
regression variables, thereby shrinking them to zero80. Incorporating a penalty item into linear regression may dramatically reduce the variance of a model by effectively shrinking the coefficient estimates, particularly in models with high-dimension predictors81. The optimized objective function of Lasso ...
While recent work in reinforcement learning (RL) has led to agents capable of solving increasingly complex tasks, the issue of high sample complexity is st
Moghaddasi, M., Moradi, M., Mohammadi Ghaleni, M. et al. Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learning. Journal of Hydrology: Regional Studies, 2025, 59: 102382....
Multi-objective optimization module: For wind speed interval forecasting, it is expected that the objective function value of prediction interval normalized average width is to be minimized and the objective function value of coverage probability is to be maximized. Based on the procedure of multi-obj...
Entropy method and application to determine weights of combination forecasting [J] J Anhui Univ (Nat Sci), 4 (2003) Google Scholar [137] H.-S. Yan, Z.-G. Shang Product design time forecast using relative entropy kernel regression Int J Indus Eng, 26 (3) (2019) Google Scholar [138] ...