Pages that link to "Item:Q4816963"

The following pages link to Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel (Q4816963):

Displaying 50 items.

• Data complexity meta-features for regression problems (Q142808) (← links)
• Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy (Q274349) (← links)
• Tikhonov, Ivanov and Morozov regularization for support vector machine learning (Q285946) (← links)
• A nested heuristic for parameter tuning in support vector machines (Q336941) (← links)
• Supervised classification and mathematical optimization (Q339559) (← links)
• Application of global optimization methods to model and feature selection (Q437761) (← links)
• Asset portfolio optimization using support vector machines and real-coded genetic algorithm (Q454264) (← links)
• An immune system inspired clustering and classification method to detect critical areas in electrical power networks (Q537832) (← links)
• Global resolution of the support vector machine regression parameters selection problem with LPCC (Q748597) (← links)
• An approach of laser-based vehicle monitor (Q872343) (← links)
• An objective analysis of support vector machine based classification for remote sensing (Q934760) (← links)
• Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space (Q1010078) (← links)
• Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification (Q1013139) (← links)
• Model selection for support vector machines via uniform design (Q1020820) (← links)
• Identifying winners of competitive events: a SVM-based classification model for horserace prediction (Q1027543) (← links)
• Representing spatial uncertainty using distances and kernels (Q1028764) (← links)
• Support vector machines for default prediction of SMEs based on technology credit (Q1038344) (← links)
• A reference model for customer-centric data mining with support vector machines (Q1042173) (← links)
• A novel algorithm for satellite data transmission (Q1045395) (← links)
• An enhanced artificial bee colony-based support vector machine for image-based fault detection (Q1666212) (← links)
• Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm (Q1711465) (← links)
• Edge detector design based on LS-SVR (Q1718333) (← links)
• Computational and experimental approaches for investigating membranes diffusion behavior in model diesel fuel (Q1734889) (← links)
• Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
• Boosting random subspace method (Q1932108) (← links)
• Methods for the combination of kernel matrices within a support vector framework (Q1959546) (← links)
• Studies on fault diagnosis of dissolved oxygen sensor based on GA-SVM (Q1980073) (← links)
• Hierarchical identification of nonlinear hybrid systems in a Bayesian framework (Q2105431) (← links)
• Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid (Q2203392) (← links)
• Tuning kernel parameters for SVM based on expected square distance ratio (Q2282123) (← links)
• A feature-weighted SVR method based on kernel space feature (Q2283842) (← links)
• Quantum-behaved particle swarm optimization for parameter optimization of support vector machine (Q2304094) (← links)
• Intraday volume percentages forecasting using a dynamic SVM-based approach (Q2400458) (← links)
• Binary classification SVM-based algorithms with interval-valued training data using triangular and Epanechnikov kernels (Q2418195) (← links)
• Classification using distances from samples to linear manifolds (Q2444589) (← links)
• Classification by nearness in complementary subspaces (Q2444594) (← links)
• Uniform design over general input domains with applications to target region estimation in computer experiments (Q2445589) (← links)
• Fingerprint classification using one-vs-all support vector machines dynamically ordered with naïve Bayes classifiers (Q2459573) (← links)
• SVM classification of human intergenic and gene sequences (Q2486558) (← links)
• Selection of time instants and intervals with support vector regression for multivariate functional data (Q2664383) (← links)
• Nonlinear dimension reduction for conditional quantiles (Q2673348) (← links)
• Support vector machines on the D-wave quantum annealer (Q2698831) (← links)
• Structural damage diagnosis using incomplete static responses and LS-SVM (Q2974019) (← links)
• Estimating the Market Share Attraction Model using Support Vector Regressions (Q3063862) (← links)
• Introduction to Support Vector Machines and Their Applications in Bankruptcy Prognosis (Q3112481) (← links)
• Locating Infinite Discontinuities in Computer Experiments (Q3296927) (← links)
• Model selection for svm using imitative scale chaos optimization algorithm (Q3422563) (← links)
• Non-asymptotic Analysis of $\ell_1$-norm Support Vector Machines (Q4589386) (← links)
• (Q4614107) (← links)
• Decomposition Methods for Linear Support Vector Machines (Q4832489) (← links)