Pages that link to "Item:Q5294324"
From MaRDI portal
The following pages link to Training a Support Vector Machine in the Primal (Q5294324):
Displaying 50 items.
- SVM-Maj: a majorization approach to linear support vector machines with different hinge errors (Q107957) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Robust formulations for clustering-based large-scale classification (Q402195) (← links)
- Value-at-risk support vector machine: stability to outliers (Q405683) (← links)
- Fast PRISM: branch and bound Hough transform for object class detection (Q409088) (← links)
- Bridging logic and kernel machines (Q439018) (← links)
- Training Lp norm multiple kernel learning in the primal (Q461152) (← links)
- A faster gradient ascent learning algorithm for nonlinear SVM (Q469835) (← links)
- Combinatorial properties of support vectors of separating hyperplanes (Q499715) (← links)
- A bilateral-truncated-loss based robust support vector machine for classification problems (Q521717) (← links)
- Multi-parameter regularization and its numerical realization (Q537875) (← links)
- Exploiting separability in large-scale linear support vector machine training (Q540649) (← links)
- Optimization problems in statistical learning: duality and optimality conditions (Q545113) (← links)
- Cross-term elimination in Wigner distribution based on 2D signal processing techniques (Q612652) (← links)
- Pegasos: primal estimated sub-gradient solver for SVM (Q633112) (← links)
- The sparse signomial classification and regression model (Q744718) (← links)
- Adaptive constraint reduction for training support vector machines (Q836799) (← links)
- Provably fast training algorithms for support vector machines (Q927401) (← links)
- Efficient approximate leave-one-out cross-validation for kernel logistic regression (Q1009261) (← links)
- An algebraic characterization of the optimum of regularized kernel methods (Q1009329) (← links)
- Asymmetric \(\nu\)-tube support vector regression (Q1623610) (← links)
- Smoothly approximated support vector domain description (Q1669703) (← links)
- Least absolute deviation support vector regression (Q1717816) (← links)
- Statistics for data with geometric structure. Abstracts from the workshop held January 21--27, 2018 (Q1731971) (← links)
- Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking (Q1741234) (← links)
- Fast training of support vector machines with Gaussian kernel (Q1751182) (← links)
- DirectSVM: A simple support vector machine perceptron (Q1851199) (← links)
- Robust support vector regression in the primal (Q1932127) (← links)
- A sequential algorithm for sparse support vector classifiers (Q1933557) (← links)
- Computational complexity of kernel-based density-ratio estimation: a condition number analysis (Q1945037) (← links)
- Cutting-plane training of structural SVMs (Q1959520) (← links)
- Graph regularization methods for Web spam detection (Q1959625) (← links)
- Bias of homotopic gradient descent for the hinge loss (Q2045131) (← links)
- An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods (Q2089775) (← links)
- Learning a distance metric from relative comparisons between quadruplets of images (Q2187430) (← links)
- Semi-supervised active learning for support vector machines: a novel approach that exploits structure information in data (Q2198077) (← links)
- Correction of AI systems by linear discriminants: probabilistic foundations (Q2200569) (← links)
- Fast construction of correcting ensembles for legacy artificial intelligence systems: algorithms and a case study (Q2213117) (← links)
- Mixed-norm regularization for brain decoding (Q2262456) (← links)
- Learning using privileged information: SVM+ and weighted SVM (Q2339396) (← links)
- Incremental accelerated gradient methods for SVM classification: study of the constrained approach (Q2355191) (← links)
- Fast projected gradient method for support vector machines (Q2358069) (← links)
- Orthogonal optimal reverse prediction for semi-supervised learning (Q2417838) (← links)
- Parsimonious kernel extreme learning machine in primal via Cholesky factorization (Q2418199) (← links)
- A superlinearly convergent \(R\)-regularized Newton scheme for variational models with concave sparsity-promoting priors (Q2436684) (← links)
- Support vector machine via nonlinear rescaling method (Q2468778) (← links)
- A sparse large margin semi-supervised learning method (Q2511744) (← links)
- Unified dual for bi-class SVM approaches (Q2565840) (← links)
- New smoothing SVM algorithm with tight error bound and efficient reduced techniques (Q2636609) (← links)
- Formulations of support vector machines: A note from an optimization point of view (Q2708444) (← links)
