Pages that link to "Item:Q1887132"
From MaRDI portal
The following pages link to Experimentally optimal \(\nu\) in support vector regression for different noise models and parameter settings (Q1887132):
Displaying 16 items.
- A new method for parameter sensitivity estimation in structural reliability analysis (Q628871) (← links)
- On selection of kernel parametes in relevance vector machines for hydrologic applications (Q732723) (← links)
- Noise model based \(\nu\)-support vector regression with its application to short-term wind speed forecasting (Q889277) (← links)
- Trade-off between accuracy and interpretability: experience-oriented fuzzy modeling via reduced-set vectors (Q971561) (← links)
- Asymmetric \(\nu\)-tube support vector regression (Q1623610) (← links)
- New support vector algorithms with parametric insensitive/margin model (Q1784537) (← links)
- Practical selection of SVM parameters and noise estimation for SVM regression (Q1887129) (← links)
- An e-E-insensitive support vector regression machine (Q2259798) (← links)
- Approximation of kernel matrices by circulant matrices and its application in kernel selection methods (Q2266837) (← links)
- Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence (Q2291015) (← links)
- Kernel ridge regression model based on beta-noise and its application in short-term wind speed forecasting (Q2311070) (← links)
- On regularisation parameter transformation of support vector machines (Q2379787) (← links)
- Theoretically optimal parameter choices for support vector regression machines with noisy input (Q2576617) (← links)
- Training <i>v</i>-Support Vector Regression: Theory and Algorithms (Q3149528) (← links)
- (Q5399895) (← links)
- A rainfall forecasting method using machine learning models and its application to the Fukuoka city case (Q5403393) (← links)
