The following pages link to Support Vector Machines (Q3499201):
Displaying 50 items.
- Online regularized learning with pairwise loss functions (Q2361154) (← links)
- Binary vectors for fast distance and similarity estimation (Q2362826) (← links)
- Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process (Q2396453) (← links)
- Pointwise multipliers for Sobolev and Besov spaces of dominating mixed smoothness (Q2400643) (← links)
- Kernel-based sparse regression with the correntropy-induced loss (Q2409039) (← links)
- Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels (Q2418195) (← links)
- Backtransformation: a new representation of data processing chains with a scalar decision function (Q2418317) (← links)
- Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques (Q2424937) (← links)
- Fast learning from \(\alpha\)-mixing observations (Q2443266) (← links)
- Detecting influential observations in kernel PCA (Q2445754) (← links)
- Nonlinear and additive principal component analysis for functional data (Q2657189) (← links)
- Strictly proper kernel scores and characteristic kernels on compact spaces (Q2659748) (← links)
- Averaging versus voting: a comparative study of strategies for distributed classification (Q2668577) (← links)
- Sparse regularized learning in the reproducing kernel Banach spaces with the \(\ell^1\) norm (Q2668579) (← links)
- On reproducing kernel Banach spaces: generic definitions and unified framework of constructions (Q2674395) (← links)
- A Riemann-Stein kernel method (Q2676917) (← links)
- Small sample spaces for Gaussian processes (Q2692515) (← links)
- Nonasymptotic analysis of robust regression with modified Huber's loss (Q2693696) (← links)
- Learning dynamical systems using local stability priors (Q2696118) (← links)
- Supervised Learning by Support Vector Machines (Q2789826) (← links)
- Measuring the Capacity of Sets of Functions in the Analysis of ERM (Q2805728) (← links)
- Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning (Q2814134) (← links)
- Span estimate of SVM (Q2850279) (← links)
- Green’s Functions: Taking Another Look at Kernel Approximation, Radial Basis Functions, and Splines (Q2912171) (← links)
- Multivariate integration for analytic functions with Gaussian kernels (Q2953209) (← links)
- Tractability of Function Approximation with Product Kernels (Q2957060) (← links)
- Separability of reproducing kernel spaces (Q2964043) (← links)
- Support Vector Machines and Perceptrons (Q2970763) (← links)
- Linear and Nonlinear Classifiers of Data with Support Vector Machines and Generalized Support Vector Machines (Q2974716) (← links)
- (Q3096109) (← links)
- Improvement of multiple kernel learning using adaptively weighted regularization (Q3121201) (← links)
- Classification Scheme for Binary Data with Extensions (Q3296178) (← links)
- Kernel regression, minimax rates and effective dimensionality: Beyond the regular case (Q3298576) (← links)
- Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records (Q3304860) (← links)
- 9 Kernel methods for surrogate modeling (Q3384280) (← links)
- Analysis of Regression Algorithms with Unbounded Sampling (Q3386411) (← links)
- Generalized linear models for geometrical current predictors: An application to predict garment fit (Q3386480) (← links)
- Convergence Rates of Spectral Regularization Methods: A Comparison between Ill-Posed Inverse Problems and Statistical Kernel Learning (Q3386994) (← links)
- Kernels for Linear Time Invariant System Identification (Q3451766) (← links)
- Designing an Optimal Search Algorithm with Respect to Prior Information (Q3459676) (← links)
- Arbitrary Norm Support Vector Machines (Q3612134) (← links)
- (Q4251133) (← links)
- Optimal Quadrature-Sparsification for Integral Operator Approximation (Q4553791) (← links)
- (Q4558178) (← links)
- Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions (Q4558193) (← links)
- (Q4558495) (← links)
- (Q4558505) (← links)
- (Q4558567) (← links)
- Characteristic and Universal Tensor Product Kernels (Q4558575) (← links)
- Kernel-Based Discretization for Solving Matrix-Valued PDEs (Q4560172) (← links)
