scientific article; zbMATH DE number 5056252
From MaRDI portal
zbMath1126.68070MaRDI QIDQ5488716
Publication date: 22 September 2006
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Related Items
ON THE CONVERGENCE RATE OF THE SUBGRADIENT METHOD WITH METRIC VARIATION AND ITS APPLICATIONS IN NEURAL NETWORK APPROXIMATION SCHEMES, Unnamed Item, High dimensional data classification and feature selection using support vector machines, An iterative SVM approach to feature selection and classification in high-dimensional datasets, Feature selection for linear SVM with provable guarantees, Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm, Margin optimal classification trees, Past, current and future trends and challenges in non-deterministic fracture mechanics: a review, The cluster correlation-network support vector machine for high-dimensional binary classification, Potential Functions for Signals and Symbolic Sequences, Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning, Model averaging for support vector classifier by cross-validation, Variable selection for multicategory SVM via adaptive sup-norm regularization, Classification of histogram-valued data with support histogram machines, A safe double screening strategy for elastic net support vector machine, Multinomial regression with elastic net penalty and its grouping effect in gene selection, Regression adjustment for treatment effect with multicollinearity in high dimensions, Feature elimination in kernel machines in moderately high dimensions, Kernel variable selection for multicategory support vector machines, Stochastic chemo-physical-mechanical degradation analysis on hydrated cement under acidic environments, Machine learning aided static structural reliability analysis for functionally graded frame structures, Robust multicategory support vector machines using difference convex algorithm, A generalized eigenvalues classifier with embedded feature selection, Shrinkage and model selection with correlated variables via weighted fusion, Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases, Simultaneous classification and feature selection via convex quadratic programming with application to HIV-associated neurocognitive disorder assessment, Stochastic nonlocal damage analysis by a machine learning approach, Optimization problems for machine learning: a survey, Relaxing support vectors for classification, Feature selection in SVM via polyhedral \(k\)-norm, The structured elastic net for quantile regression and support vector classification, Sequential support vector regression with embedded entropy for SNP selection and disease classification, Machine learning aided phase field method for fracture mechanics, Backtracking Strategies for Accelerated Descent Methods with Smooth Composite Objectives, Proximal gradient method for huberized support vector machine, Linear Regression via Elastic Net: Non-enumerative Leave-One-Out Verification of Feature Selection
