Pages that link to "Item:Q1887129"
From MaRDI portal
The following pages link to Practical selection of SVM parameters and noise estimation for SVM regression (Q1887129):
Displaying 18 items.
- Hyper-parameter selection for sparse LS-SVM via minimization of its localized generalization error (Q2846508) (← links)
- A SEASONAL AUTO-REGRESSIVE MODEL BASED SUPPORT VECTOR REGRESSION PREDICTION METHOD FOR H5N1 AVIAN INFLUENZA ANIMAL EVENTS (Q3173436) (← links)
- Efficient optimization of hyper-parameters for least squares support vector regression (Q3458833) (← links)
- Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities (Q4554257) (← links)
- (Q4558532) (← links)
- Support vector machines for measuring dielectric properties of materials (Q4933003) (← links)
- A novel adaptive differential evolution SVM model for predicting coal and gas outbursts (Q4978259) (← links)
- A cost-effective approach to portfolio construction with range-based risk measures (Q4991085) (← links)
- Semistability of Steepest Descent with Momentum for Quadratic Functions (Q5378217) (← links)
- A Study on the Optimal Double Parameters for Steepest Descent with Momentum (Q5380232) (← links)
- (Q5399895) (← links)
- A rainfall forecasting method using machine learning models and its application to the Fukuoka city case (Q5403393) (← links)
- System identification techniques based on support vector machines without bias term (Q5408084) (← links)
- Parameter selection of support vector regression based on hybrid optimization algorithm and its application (Q5408964) (← links)
- Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization (Q6074062) (← links)
- A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms (Q6105931) (← links)
- Conditional quantile change test for time series based on support vector regression (Q6141736) (← links)
- A new surrogate modeling method combining polynomial chaos expansion and Gaussian kernel in a sparse Bayesian learning framework (Q6549927) (← links)