The following pages link to 10.1162/153244302760200713 (Q4779565):
Displaying 32 items.
- Consistency and generalization bounds for maximum entropy density estimation (Q280753) (← links)
- Sequence classification via large margin hidden Markov models (Q408657) (← links)
- Generalization ability of fractional polynomial models (Q461189) (← links)
- Compressed classification learning with Markov chain samples (Q470183) (← links)
- Optimal convergence rate of the universal estimation error (Q516004) (← links)
- Learning rates for multi-kernel linear programming classifiers (Q537615) (← links)
- A boosting approach for supervised Mahalanobis distance metric learning (Q645912) (← links)
- Generalization bounds for learning with linear, polygonal, quadratic and conic side knowledge (Q747246) (← links)
- Generalization performance of Lagrangian support vector machine based on Markov sampling (Q830752) (← links)
- On the generalization error of fixed combinations of classifiers (Q881592) (← links)
- Large margin cost-sensitive learning of conditional random fields (Q992002) (← links)
- Kernel selection with spectral perturbation stability of kernel matrix (Q1616171) (← links)
- Quantile-slicing estimation for dimension reduction in regression (Q1644423) (← links)
- Logistic regression with weight grouping priors (Q1800101) (← links)
- Nonparametric regression with modified ReLU networks (Q2081757) (← links)
- Explainable online ensemble of deep neural network pruning for time series forecasting (Q2102399) (← links)
- Learning performance of regularized regression with multiscale kernels based on Markov observations (Q2244161) (← links)
- Optimality of SVM: novel proofs and tighter bounds (Q2333789) (← links)
- On combining machine learning with decision making (Q2512894) (← links)
- Modal additive models with data-driven structure identification (Q2668575) (← links)
- Learning rates of regression with \(q\)-norm loss and threshold (Q2835987) (← links)
- Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks (Q3053683) (← links)
- Generalization Bounds for Some Ordinal Regression Algorithms (Q3529907) (← links)
- Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression (Q3612133) (← links)
- (Q4614098) (← links)
- SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming (Q4678449) (← links)
- Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps (Q5025792) (← links)
- On the proliferation of support vectors in high dimensions* (Q5055426) (← links)
- Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem (Q5378343) (← links)
- Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes (Q5380581) (← links)
- Learning Bounds for Kernel Regression Using Effective Data Dimensionality (Q5706660) (← links)
- Hybrid learning based on Fisher linear discriminant (Q6544564) (← links)
