Pages that link to "Item:Q5946766"

The following pages link to SSVM: A smooth support vector machine for classification (Q5946766):

Displaying 50 items.

• SSVM (Q24604) (← links)
• Regularization of case-specific parameters for robustness and efficiency (Q252778) (← links)
• Subspace-based support vector machines for pattern classification (Q280347) (← links)
• Supervised classification and mathematical optimization (Q339559) (← links)
• Approximate functions in a problem of sets separation (Q346819) (← links)
• Smoothing techniques and augmented Lagrangian method for recourse problem of two-stage stochastic linear programming (Q364501) (← links)
• Modular inverse reinforcement learning for visuomotor behavior (Q402339) (← links)
• Piecewise-smooth support vector machine for classification (Q459526) (← links)
• Smooth diagonal weighted Newton support vector machine (Q459804) (← links)
• A faster gradient ascent learning algorithm for nonlinear SVM (Q469835) (← links)
• Lagrangian support vector regression via unconstrained convex minimization (Q470224) (← links)
• Does modeling lead to more accurate classification? A study of relative efficiency in linear classification (Q476236) (← links)
• A bilateral-truncated-loss based robust support vector machine for classification problems (Q521717) (← links)
• Learning errors of linear programming support vector regression (Q552420) (← links)
• Parallel algorithm for training multiclass proximal support vector machines (Q628877) (← links)
• A novel framework for multi-class classification via ternary smooth support vector machine (Q632623) (← links)
• Semismooth support vector machines. (Q703219) (← links)
• A meta-heuristic approach for improving the accuracy in some classification algorithms (Q709124) (← links)
• Adjusted support vector machines based on a new loss function (Q970172) (← links)
• An algebraic characterization of the optimum of regularized kernel methods (Q1009329) (← links)
• Model selection for support vector machines via uniform design (Q1020820) (← links)
• Decomposition algorithm model for singly linearly-constrained problems subject to lower and Upper bounds (Q1029281) (← links)
• Newton's method for nonparallel plane proximal classifier with unity norm hyperplanes (Q1048779) (← links)
• Smoothly approximated support vector domain description (Q1669703) (← links)
• A new method for solving supervised data classification problems (Q1723858) (← links)
• Angle-based twin support vector machine (Q1730466) (← links)
• Two smooth support vector machines for \(\varepsilon \)-insensitive regression (Q1753072) (← links)
• A novel perspective on multiclass classification: regular simplex support vector machine (Q2004737) (← links)
• Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems (Q2035635) (← links)
• Non-interior-point smoothing Newton method for CP revisited and its application to support vector machines (Q2053310) (← links)
• Smooth augmented Lagrangian method for twin bounded support vector machine (Q2092290) (← links)
• A robust outlier control framework for classification designed with family of homotopy loss function (Q2188214) (← links)
• Insensitive stochastic gradient twin support vector machines for large scale problems (Q2198233) (← links)
• TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition (Q2276011) (← links)
• A matrix-free smoothing algorithm for large-scale support vector machines (Q2279568) (← links)
• An improvement on parametric \(\nu\)-support vector algorithm for classification (Q2329896) (← links)
• A GA-based model selection for smooth twin parametric-margin support vector machine (Q2353751) (← links)
• A semismooth Newton method for support vector classification and regression (Q2419554) (← links)
• Accelerated randomized mirror descent algorithms for composite non-strongly convex optimization (Q2420797) (← links)
• Kernel-improved support vector machine for semanteme data (Q2453278) (← links)
• Spline function smooth support vector machine for classification (Q2468865) (← links)
• Reformulation of the support set selection problem in the logical analysis of data (Q2480202) (← links)
• The method of virtual experts in mathematical diagnostics (Q2501112) (← links)
• Convex kernel underestimation of functions with multiple local minima (Q2506188) (← links)
• A smoothing and regularization Broyden-like method for nonlinear inequalities (Q2511143) (← links)
• New smoothing SVM algorithm with tight error bound and efficient reduced techniques (Q2636609) (← links)
• Smoothed penalty algorithms for optimization of nonlinear models (Q2643624) (← links)
• Robust and distributionally robust optimization models for linear support vector machine (Q2676336) (← links)
• Smooth support vector machine based on Padé approximants (Q2858628) (← links)
• A smooth support vector machine model based on spline functions (Q2859916) (← links)