Pages that link to "Item:Q1851948"

The following pages link to Weighted least squares support vector machines: robustness and sparse approximation (Q1851948):

Displaying 50 items.

• Efficient sparse least squares support vector machines for pattern classification (Q316308) (← links)
• Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms -- support vector regression forecast combinations (Q320100) (← links)
• Sparse conjugate directions pursuit with application to fixed-size kernel models (Q413891) (← links)
• Model predictive engine air-ratio control using online sequential relevance vector machine (Q446502) (← links)
• A faster gradient ascent learning algorithm for nonlinear SVM (Q469835) (← links)
• Pointwise probability reinforcements for robust statistical inference (Q470187) (← links)
• A novel sparse least squares support vector machines (Q474428) (← links)
• Efficient model selection for sparse least-square SVMs (Q474543) (← links)
• A pruning method of refining recursive reduced least squares support vector regression (Q527194) (← links)
• A robust regression based on weighted LSSVM and penalized trimmed squares (Q528415) (← links)
• A weighted LS-SVM based learning system for time series forecasting (Q528700) (← links)
• Evolution strategies based adaptive \(L_{p}\) LS-SVM (Q545383) (← links)
• Fast exact leave-one-out cross-validation of sparse least-squares support vector machines (Q705597) (← links)
• Online independent reduced least squares support vector regression (Q712698) (← links)
• A new support vector machine plus with pinball loss (Q724600) (← links)
• An efficient weighted Lagrangian twin support vector machine for imbalanced data classification (Q736317) (← links)
• Robust stochastic configuration networks with kernel density estimation for uncertain data regression (Q778389) (← links)
• Weighted and robust learning of subspace representations (Q869051) (← links)
• Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives (Q942320) (← links)
• Sliding window generalized kernel affine projection algorithm using projection mappings (Q966856) (← links)
• Adaptive pruning algorithm for least squares support vector machine classifier (Q973696) (← links)
• Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
• A reliability assessment method based on support vector machines for CNC equipment (Q1045437) (← links)
• Nonlinear multifunctional sensor signal reconstruction based on least squares support vector machines and total least squares algorithm (Q1048295) (← links)
• Robustness of reweighted least squares kernel based regression (Q1049548) (← links)
• Asymmetric least squares support vector machine classifiers (Q1615251) (← links)
• Asymmetric \(\nu\)-tube support vector regression (Q1623610) (← links)
• Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds (Q1694930) (← links)
• European exchange trading funds trading with locally weighted support vector regression (Q1698924) (← links)
• Least absolute deviation support vector regression (Q1717816) (← links)
• Improved extreme learning machine and its application in image quality assessment (Q1718361) (← links)
• Fault prediction for nonlinear system using sliding ARMA combined with online LS-SVR (Q1718947) (← links)
• Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
• Grey-related least squares support vector machine optimization model and its application in predicting natural gas consumption demand (Q1743959) (← links)
• A probabilistic learning algorithm for robust modeling using neural networks with random weights (Q1749195) (← links)
• Data-based control for humanoid robots using support vector regression, fuzzy logic, and cubature Kalman filter (Q1792787) (← links)
• Improved sparse least-squares support vector machines (Q1852050) (← links)
• Primal and dual model representations in kernel-based learning (Q1950324) (← links)
• Probability distribution and deviation information fusion driven support vector regression model and its application (Q1993344) (← links)
• A new adaptive LSSVR with online multikernel RBF tuning to evaluate analog circuit performance (Q2015243) (← links)
• Support-vector regression accelerated well location optimization: algorithm, validation, and field testing (Q2065837) (← links)
• Robust weighted least squares support vector regression algorithm to estimate the nanofluid thermal properties of water/graphene oxide-silicon carbide mixture (Q2159691) (← links)
• Robust support vector regression with generic quadratic nonconvex \(\varepsilon\)-insensitive loss (Q2174697) (← links)
• Training sparse least squares support vector machines by the QR decomposition (Q2182874) (← links)
• Robust regularized extreme learning machine for regression with non-convex loss function via DC program (Q2200186) (← links)
• A new method for classifying random variables based on support vector machine (Q2283324) (← links)
• Maximum likelihood optimal and robust support vector regression with \textit{lncosh} loss function (Q2292212) (← links)
• Extreme entropy machines: robust information theoretic classification (Q2337517) (← links)
• A regularized pairwise multi-classification knowledge-based machine and applications (Q2378443) (← links)
• Optimally regularised kernel Fisher discriminant classification (Q2383046) (← links)