The following pages link to (Q4261789):
Displaying 50 items.
- A multi-class SVM approach based on the \( l_1\)-norm minimization of the distances between the reduced convex hulls (Q1677845) (← links)
- Radial basis function approximation of noisy scattered data on the sphere (Q1679208) (← links)
- Knowledge transfer in SVM and neural networks (Q1680840) (← links)
- Nonlinear multi-output regression on unknown input manifold (Q1680851) (← links)
- High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
- Inverse regression approach to robust nonlinear high-to-low dimensional mapping (Q1686148) (← links)
- On the construction of quadratic models for derivative-free trust-region algorithms (Q1688943) (← links)
- Distribution-free high-dimensional two-sample tests based on discriminating hyperplanes (Q1694021) (← links)
- An LP-based \(k\)-means algorithm for balancing weighted point sets (Q1694906) (← links)
- Fuzzy \(c\)-ordered-means clustering (Q1697325) (← links)
- Tunable equivalence fuzzy associative memories (Q1697348) (← links)
- Homotopy continuation approaches for robust SV classification and regression (Q1697922) (← links)
- High-probability minimax probability machines (Q1699630) (← links)
- A new branch-and-bound approach to semi-supervised support vector machine (Q1699749) (← links)
- Hierarchical design of fast minimum disagreement algorithms (Q1704562) (← links)
- Predictive modelling of eutrophication in the Pozón de la Dolores lake (Northern Spain) by using an evolutionary support vector machines approach (Q1709394) (← links)
- Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou's general PseAAC via Kullback-Leibler divergence (Q1714132) (← links)
- Relative deviation learning bounds and generalization with unbounded loss functions (Q1714946) (← links)
- Prediction of success for polymerase chain reactions using the Markov maximal order model and support vector machine (Q1715227) (← links)
- Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines (Q1715345) (← links)
- Lysine acetylation sites prediction using an ensemble of support vector machine classifiers (Q1715455) (← links)
- Matrix factorization for evolution data (Q1718602) (← links)
- Robust nonlinear control with compensation operator for a Peltier system (Q1718746) (← links)
- Image classification using PSO-SVM and an RGB-D sensor (Q1718968) (← links)
- A simpler approach to coefficient regularized support vector machines regression (Q1722337) (← links)
- Constructive analysis for least squares regression with generalized \(K\)-norm regularization (Q1724159) (← links)
- Feature selection based on composition of rough sets induced by feature granulation (Q1726248) (← links)
- Calibration of \(\epsilon\)-insensitive loss in support vector machines regression (Q1730072) (← links)
- SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition (Q1732912) (← links)
- Predicting the state of cysteines based on sequence information (Q1733013) (← links)
- Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria (Q1734357) (← links)
- Cost-sensitive feature selection for support vector machines (Q1734839) (← links)
- Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
- Computer aided diagnosis system for early lung cancer detection (Q1736738) (← links)
- Algorithms for drug sensitivity prediction (Q1736854) (← links)
- An adaptive calibration framework for mVEP-based brain-computer interface (Q1737347) (← links)
- Maximization of AUC and buffered AUC in binary classification (Q1739053) (← links)
- Uncertainty quantification in reservoir prediction. I: Model realism in history matching using geological prior definitions (Q1740335) (← links)
- Uncertainty quantification in reservoir prediction. II: Handling uncertainty in the geological scenario (Q1740336) (← links)
- Learning customized and optimized lists of rules with mathematical programming (Q1741119) (← links)
- On classifier behavior in the presence of mislabeling noise (Q1741315) (← links)
- Convergence conditions for the observed mean method in stochastic programming (Q1745693) (← links)
- Heuristic criterion for class recognition by spectral brightness (Q1745701) (← links)
- Robust multicategory support vector machines using difference convex algorithm (Q1749454) (← links)
- Adaptively weighted large-margin angle-based classifiers (Q1750000) (← links)
- Membership-margin based feature selection for mixed type and high-dimensional data: theory and applications (Q1750036) (← links)
- Intrinsic dimension estimation: advances and open problems (Q1750498) (← links)
- Multi-label Lagrangian support vector machine with random block coordinate descent method (Q1750531) (← links)
- Multi-class second-order cone programming support vector machines (Q1750615) (← links)
- Large-width bounds for learning half-spaces on distance spaces (Q1752445) (← links)
