The following pages link to (Q4784077):
Displaying 50 items.
- Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes (Q1048779) (← links)
- Recursive update algorithm for least squares support vector machines (Q1404283) (← links)
- Asymmetric least squares support vector machine classifiers (Q1615251) (← links)
- Asymmetric \(\nu\)-tube support vector regression (Q1623610) (← links)
- Twin support vector machine method for identification of Wiener models (Q1664670) (← links)
- Fast prediction with sparse multikernel LS-SVR using multiple relevant time series and its application in avionics system (Q1665732) (← links)
- Kernel spectral clustering with memory effect (Q1672954) (← links)
- Robust nonlinear control with compensation operator for a Peltier system (Q1718746) (← links)
- Imbalanced classification in sparse and large behaviour datasets (Q1741360) (← links)
- A mixed-integer programming approach to GRNN parameter estimation (Q1749962) (← links)
- Sparse kernel learning with LASSO and Bayesian inference algorithm (Q1784554) (← links)
- A two-experiment approach to Wiener system identification (Q1797016) (← links)
- System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024) (← links)
- Primal and dual model representations in kernel-based learning (Q1950324) (← links)
- Explicit connections between longitudinal data analysis and kernel machines (Q1952003) (← links)
- Towards online model predictive control on a programmable logic controller: practical considerations (Q1955341) (← links)
- Time series adaptive online prediction method combined with modified LS-SVR and AGO (Q1955446) (← links)
- Knowledge-based Green's kernel for support vector regression (Q1958823) (← links)
- Optimal learning with anisotropic Gaussian SVMs (Q1979927) (← links)
- Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection (Q1997725) (← links)
- A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression (Q1998260) (← links)
- A hybrid application algorithm based on the support vector machine and artificial intelligence: an example of electric load forecasting (Q2009969) (← links)
- Learning solutions to the source inverse problem of wave equations using LS-SVM (Q2010469) (← links)
- Analysis of regularized least-squares in reproducing kernel Kreĭn spaces (Q2051308) (← links)
- Numerical simulation of Volterra-Fredholm integral equations using least squares support vector regression (Q2052276) (← links)
- Outlier detection in non-elliptical data by kernel MRCD (Q2058886) (← links)
- Robustness by reweighting for kernel estimators: an overview (Q2075710) (← links)
- A short-term wind power forecasting method based on hybrid-kernel least-squares support vector machine (Q2095985) (← links)
- Bayesian frequentist bounds for machine learning and system identification (Q2097759) (← links)
- A new parallel data geometry analysis algorithm to select training data for support vector machine (Q2142956) (← links)
- A biased least squares support vector machine based on Mahalanobis distance for PU learning (Q2153189) (← links)
- Least squares support vector regression for differential equations on unbounded domains (Q2162261) (← links)
- Nyström landmark sampling and regularized Christoffel functions (Q2163251) (← links)
- Handling concept drift via model reuse (Q2183593) (← links)
- Efficient regularized least-squares algorithms for conditional ranking on relational data (Q2251443) (← links)
- Sparse multinomial kernel discriminant analysis (sMKDA) (Q2270800) (← links)
- Recursive projection twin support vector machine via within-class variance minimization (Q2276005) (← links)
- Supervised aggregated feature learning for multiple instance classification (Q2282292) (← links)
- Shape optimization of a cyclone separator using multi-objective surrogate-based optimization (Q2290582) (← links)
- The kernel-based nonlinear multivariate grey model (Q2295204) (← links)
- Applying least squares support vector machines to mean-variance portfolio analysis (Q2298419) (← links)
- Parameter estimation of delay differential equations: an integration-free LS-SVM approach (Q2299694) (← links)
- Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification (Q2307599) (← links)
- Sequential sensitivity analysis of expensive black-box simulators with metamodelling (Q2308244) (← links)
- Prediction of BP reactivity to talking using hybrid soft computing approaches (Q2330184) (← links)
- \(\upsilon\)-support vector machine based on discriminant sparse neighborhood preserving embedding (Q2337604) (← links)
- Extreme learning machine for ranking: generalization analysis and applications (Q2339398) (← links)
- Sparse proximal support vector machine with a specialized interior-point method (Q2356343) (← links)
- Identification of a surface marine vessel using LS-SVM (Q2375671) (← links)
- Significant vector learning to construct sparse kernel regression models (Q2383041) (← links)
