The following pages link to (Q4261789):
Displaying 50 items.
- Geometric preprocessing and neurocomputing for pattern recognition and pose estimation. (Q1425985) (← links)
- Data dimensionality estimation methods: A survey. (Q1425989) (← links)
- Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers. (Q1426206) (← links)
- Fuzzy \(c\)-varieties/elliptotypes clustering in reproducing kernel Hilbert space. (Q1430862) (← links)
- Statistical modeling: The two cultures. (With comments and a rejoinder). (Q1431204) (← links)
- Statistical challenges in functional genomics. (With comments and a rejoinder). (Q1431220) (← links)
- Symmetrization approach to concentration inequalities for empirical processes. (Q1433892) (← links)
- Formal methods in pattern recognition: A review (Q1579483) (← links)
- Learnability in Hilbert spaces with reproducing kernels (Q1599198) (← links)
- A re-weighting strategy for improving margins (Q1605285) (← links)
- Kernel continuum regression (Q1615146) (← links)
- Using support vector machines to distinguish enzymes: approached by incorporating wavelet transform (Q1617442) (← links)
- Analysis of presence-only data via semi-supervised learning approaches (Q1621212) (← links)
- Mean field variational Bayesian inference for support vector machine classification (Q1623434) (← links)
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach (Q1624362) (← links)
- Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates (Q1624446) (← links)
- Face pose estimation based on kernelized maximum separability (Q1626282) (← links)
- Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources (Q1629369) (← links)
- Ricci curvature and the manifold learning problem (Q1631004) (← links)
- Stable feature selection for biomarker discovery (Q1631176) (← links)
- Individual-level social influence identification in social media: a learning-simulation coordinated method (Q1631522) (← links)
- Robust chance-constrained support vector machines with second-order moment information (Q1639215) (← links)
- A distance-based control chart for monitoring multivariate processes using support vector machines (Q1639226) (← links)
- Simulation-based classification; a model-order-reduction approach for structural health monitoring (Q1639582) (← links)
- 1-bit matrix completion: PAC-Bayesian analysis of a variational approximation (Q1640399) (← links)
- Semi-supervised AUC optimization based on positive-unlabeled learning (Q1640567) (← links)
- A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the trasona reservoir: a case study in northern Spain (Q1643054) (← links)
- Large width nearest prototype classification on general distance spaces (Q1643154) (← links)
- Learnt knot placement in B-spline curve approximation using support vector machines (Q1644366) (← links)
- Distributed regression learning with coefficient regularization (Q1645155) (← links)
- Convergence analysis of multifidelity Monte Carlo estimation (Q1651008) (← links)
- PMSVM: an optimized support vector machine classification algorithm based on PCA and multilevel grid search methods (Q1665360) (← links)
- An efficient kernel learning algorithm for semisupervised regression problems (Q1665702) (← links)
- Fast prediction with sparse multikernel LS-SVR using multiple relevant time series and its application in avionics system (Q1665732) (← links)
- Intrinsic dimension estimation: relevant techniques and a benchmark framework (Q1666523) (← links)
- Two-phase iteration for value function approximation and hyperparameter optimization in Gaussian-kernel-based adaptive critic design (Q1666524) (← links)
- Local Rademacher complexity: sharper risk bounds with and without unlabeled samples (Q1669081) (← links)
- Incremental learning for \(\nu\)-support vector regression (Q1669094) (← links)
- A new robust model of one-class classification by interval-valued training data using the triangular kernel (Q1669149) (← links)
- Incremental multi-class semi-supervised clustering regularized by Kalman filtering (Q1669180) (← links)
- Budget constrained non-monotonic feature selection (Q1669185) (← links)
- Matrixized learning machine with modified pairwise constraints (Q1669624) (← links)
- Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique (Q1669630) (← links)
- Smoothly approximated support vector domain description (Q1669703) (← links)
- MLTSVM: a novel twin support vector machine to multi-label learning (Q1669782) (← links)
- \(L_{1}\)-norm loss based twin support vector machine for data recognition (Q1671708) (← links)
- Fisher-regularized support vector machine (Q1671742) (← links)
- A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance (Q1676019) (← links)
- Least squares twin multi-class classification support vector machine (Q1677210) (← links)
- An active learning-based SVM multi-class classification model (Q1677844) (← links)
