Multicategory Support Vector Machines
From MaRDI portal
Publication:5474406
DOI10.1198/016214504000000098zbMath1089.62511OpenAlexW2116444583WikidataQ56095192 ScholiaQ56095192MaRDI QIDQ5474406
Yi Lin, Grace Wahba, Yoonkyung Lee
Publication date: 26 June 2006
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/016214504000000098
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)
Related Items
Fast convergence rates of deep neural networks for classification ⋮ Robust distributed multicategory angle-based classification for massive data ⋮ Set-Valued Support Vector Machine with Bounded Error Rates ⋮ Multi-category diagnostic accuracy based on logistic regression ⋮ Personalised medicine with multiple treatments: a PhD thesis abstract ⋮ On detecting nonlinear patterns in discriminant problems ⋮ AdaBoost Semiparametric Model Averaging Prediction for Multiple Categories ⋮ Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data ⋮ Apportioned margin approach for cost sensitive large margin classifiers ⋮ Probability-enhanced effective dimension reduction for classifying sparse functional data ⋮ Angle-based cost-sensitive multicategory classification ⋮ Support vector machines maximizing geometric margins for multi-class classification ⋮ Clifford fuzzy support vector machines for classification ⋮ Multi-class boosting with asymmetric binary weak-learners ⋮ Safe sample screening rules for multicategory angle-based support vector machines ⋮ Dealing with Imbalanced Dataset: A Re-sampling Method Based on the Improved SMOTE Algorithm ⋮ Dynamical Gene-Environment Networks Under Ellipsoidal Uncertainty: Set-Theoretic Regression Analysis Based on Ellipsoidal OR ⋮ Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms -- support vector regression forecast combinations ⋮ Multi-class learning by smoothed boosting ⋮ Minimax optimal rates of convergence for multicategory classifications ⋮ Tilting Methods for Assessing the Influence of Components in a Classifier ⋮ General sparse multi-class linear discriminant analysis ⋮ A triplot for multiclass classification visualisation ⋮ Support vector machines for unbalanced multicategory classification ⋮ Multicategory large margin classification with unequal costs ⋮ Inhibition in Multiclass Classification ⋮ Weighted ergodic theorems for Banach-Kantorovich lattice \(L_p(\hat\nabla,\hat\mu)\) ⋮ Piecewise affine regression via recursive multiple least squares and multicategory discrimination ⋮ A multi-class SVM approach based on the \( l_1\)-norm minimization of the distances between the reduced convex hulls ⋮ Optimal arrangements of hyperplanes for SVM-based multiclass classification ⋮ A Fisher consistent multiclass loss function with variable margin on positive examples ⋮ Novel Randomized Feature Selection Algorithms ⋮ Generalization and learning rate of multi-class support vector classification and regression ⋮ Block coordinate descent algorithms for large-scale sparse multiclass classification ⋮ Goal scoring, coherent loss and applications to machine learning ⋮ Robust multicategory support matrix machines ⋮ Efficient Optimization of Multi-class Support Vector Machines with MSVMpack ⋮ Variable selection for multicategory SVM via adaptive sup-norm regularization ⋮ A Bayesian hybrid huberized support vector machine and its applications in high-dimensional medical data ⋮ Consistent algorithms for multiclass classification with an abstain option ⋮ Functional methods for classification of different petrographic varieties by means of reflectance spectra ⋮ Predictive decision making under risk and uncertainty: A support vector machines model ⋮ Multi-output learning via spectral filtering ⋮ Sparse supervised dimension reduction in high dimensional classification ⋮ A conversation with Grace Wahba ⋮ Multinomial regression with elastic net penalty and its grouping effect in gene selection ⋮ Framework for kernel regularization with application to protein clustering ⋮ Applying the multi-category learning to multiple video object extraction ⋮ Estimation of the misclassification error for multicategory support vector machine classification ⋮ Kernel variable selection for multicategory support vector machines ⋮ Decision theory classification of high-dimensional vectors based on small samples ⋮ Sample Complexity of Classifiers Taking Values in ℝQ, Application to Multi-Class SVMs ⋮ DCA based algorithms for feature selection in multi-class support vector machine ⋮ Robust multicategory support vector machines using difference convex algorithm ⋮ Adaptively weighted large-margin angle-based classifiers ⋮ On the rate of convergence for multi-category classification based on convex losses ⋮ Optimization approaches to supervised classification ⋮ Parzen windows for multi-class classification ⋮ Domain density description for multiclass pattern classification with reduced computational load ⋮ Bayesian kernel projections for classification of high dimensional data ⋮ Multicategory classification via forward-backward support vector machine ⋮ A regularization framework for multiclass classification: a deterministic annealing approach ⋮ Multicategory vertex discriminant analysis for high-dimensional data ⋮ Classification with many classes: challenges and pluses ⋮ Quadratic Majorization for Nonconvex Loss with Applications to the Boosting Algorithm ⋮ The consistency of multicategory support vector machines ⋮ Weighted ergodic theorem for contractions of Orlicz-Kantorovich lattice \(L_M(\widehat \nabla,\widehat \mu\)) ⋮ Generalization performance of multi-category kernel machines ⋮ Unnamed Item ⋮ Deformation of log-likelihood loss function for multiclass boosting ⋮ A novel and quick SVM-based multi-class classifier ⋮ Encoding dissimilarity data for statistical model building ⋮ Multiclass classification based on multi-criteria decision-making ⋮ Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies ⋮ Multicategory large margin classification methods: hinge losses vs. coherence functions ⋮ New multicategory boosting algorithms based on multicategory Fisher-consistent losses ⋮ Support vector machines for classification of aggregates by means of IR-spectra ⋮ Comments on: Support vector machines maximizing geometric margins for multi-class classification ⋮ Comments on: Support vector machines maximizing geometric margins for multi-class classification ⋮ Error analysis of multicategory support vector machine classifiers ⋮ Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data ⋮ Estimating treatment effect heterogeneity in randomized program evaluation ⋮ Comment ⋮ Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification ⋮ On Reject and Refine Options in Multicategory Classification ⋮ Adaptive Weighted Learning for Unbalanced Multicategory Classification ⋮ Soft-max boosting ⋮ Multicategory composite least squares classifiers ⋮ Nonlinear vertex discriminant analysis with reproducing kernels ⋮ Support vector machines with adaptive \(L_q\) penalty ⋮ Multiclass Probability Estimation With Support Vector Machines ⋮ A parallel decomposition algorithm for training multiclass kernel-based vector machines ⋮ Stepwise feature selection using generalized logistic loss ⋮ VECTOR VALUED REPRODUCING KERNEL HILBERT SPACES AND UNIVERSALITY ⋮ Unnamed Item ⋮ SVM-like decision theoretical classification of high-dimensional vectors ⋮ Proximal gradient method for huberized support vector machine ⋮ Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities ⋮ Unnamed Item ⋮ Comparison of Proximity Measures for a Topological Discrimination ⋮ Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory ⋮ Estimating Individualized Treatment Rules Using Outcome Weighted Learning ⋮ Bayesian variable selection in multinomial probit model for classifying high-dimensional data
Uses Software
