The following pages link to (Q3096204):
Displaying 50 items.
- Large-scale optimization with the primal-dual column generation method (Q266408) (← links)
- Fuzzy rough based regularization in generalized multiple kernel learning (Q316269) (← links)
- Least squares regression with \(l_1\)-regularizer in sum space (Q390496) (← links)
- Alignment based kernel learning with a continuous set of base kernels (Q399887) (← links)
- SpicyMKL: a fast algorithm for multiple kernel learning with thousands of kernels (Q413881) (← links)
- Training Lp norm multiple kernel learning in the primal (Q461152) (← links)
- Double-fold localized multiple matrixized learning machine (Q527144) (← links)
- Multiple kernel boosting framework based on information measure for classification (Q528380) (← links)
- Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms (Q537241) (← links)
- Design of a multiple kernel learning algorithm for LS-SVM by convex programming (Q553288) (← links)
- Multi-model classification method in heterogeneous image databases (Q609130) (← links)
- Regression learning based on incomplete relationships between attributes (Q781025) (← links)
- Top-\(k\) multi-class SVM using multiple features (Q781933) (← links)
- Ideal regularization for learning kernels from labels (Q889267) (← links)
- Low-rank bilinear classification: efficient convex optimization and extensions (Q901815) (← links)
- Support vector machine classification with indefinite kernels (Q1043851) (← links)
- Online multikernel learning based on a triple-norm regularizer for semantic image classification (Q1665404) (← links)
- Distance based multiple kernel ELM: a fast multiple kernel learning approach (Q1665511) (← links)
- Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics (Q1677061) (← links)
- Low-rank decomposition meets kernel learning: a generalized Nyström method (Q1680675) (← links)
- Linearized and kernelized sparse multitask learning for predicting cognitive outcomes in Alzheimer's disease (Q1731300) (← links)
- A multikernel-like learning algorithm based on data probability distribution (Q1793375) (← links)
- Probabilistic prediction of neurological disorders with a statistical assessment of neuroimaging data modalities (Q1940028) (← links)
- Online multiple kernel classification (Q1945032) (← links)
- Multi-view kernel construction (Q1959565) (← links)
- Composite kernel learning (Q1959567) (← links)
- Improving localized multiple kernel learning via radius-margin bound (Q1992765) (← links)
- Coupling privileged kernel method for multi-view learning (Q2005508) (← links)
- Multiple kernel learning-aided robust optimization: learning algorithm, computational tractability, and usage in multi-stage decision-making (Q2030473) (← links)
- Isolation kernel: the X factor in efficient and effective large scale online kernel learning (Q2066639) (← links)
- Coupling loss and self-used privileged information guided multi-view transfer learning (Q2126244) (← links)
- Improved multi-view privileged support vector machine (Q2182872) (← links)
- Robust low-rank multiple kernel learning with compound regularization (Q2239908) (← links)
- Analytic center cutting plane method for multiple kernel learning (Q2248558) (← links)
- A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (Q2253363) (← links)
- Learning wind fields with multiple kernels (Q2324342) (← links)
- A multiple attributes convolution kernel with reproducing property (Q2337518) (← links)
- Kernel learning at the first level of inference (Q2339392) (← links)
- Robust anti-synchronization of uncertain chaotic systems based on multiple-kernel least squares support vector machine modeling (Q2393219) (← links)
- Autoregressive models for gene regulatory network inference: sparsity, stability and causality issues (Q2437738) (← links)
- Kernel-based transition probability toward similarity measure for semi-supervised learning (Q2629842) (← links)
- (Q4633030) (← links)
- (Q4636990) (← links)
- Multikernel Regression with Sparsity Constraint (Q4999353) (← links)
- Multiple Kernel Learningの学習理論 (Q5011460) (← links)
- Formulation of Two Stage Multiple Kernel Learning Using Regression Framework (Q5045353) (← links)
- Multiple Domain and Multiple Kernel Outcome-Weighted Learning for Estimating Individualized Treatment Regimes (Q5057274) (← links)
- Convex Optimization for Group Feature Selection in Networked Data (Q5139860) (← links)
- Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory (Q5157150) (← links)
- Multiple kernel learning by empirical target kernel (Q5221436) (← links)
