Pages that link to "Item:Q1294807"

The following pages link to Multicategory classification by support vector machines (Q1294807):

Displaying 50 items.

• Subspace-based support vector machines for pattern classification (Q280347) (← links)
• Probability-enhanced effective dimension reduction for classifying sparse functional data (Q285831) (← links)
• Support vector machines maximizing geometric margins for multi-class classification (Q287612) (← links)
• Multicategory vertex discriminant analysis for high-dimensional data (Q542928) (← links)
• MOP/GP models for machine learning (Q555921) (← links)
• Parallel algorithm for training multiclass proximal support vector machines (Q628877) (← links)
• A novel framework for multi-class classification via ternary smooth support vector machine (Q632623) (← links)
• Linear programming approaches for multicategory support vector machines (Q706935) (← links)
• Apportioned margin approach for cost sensitive large margin classifiers (Q825011) (← links)
• Support vector machines for TCP traffic classification (Q839119) (← links)
• Support vector classifiers via gradient systems with discontinuous righthand sides (Q858899) (← links)
• A trainable feature extractor for handwritten digit recognition (Q877139) (← links)
• Nesting algorithm for multi-classification problems (Q882799) (← links)
• On soft power diagrams (Q894534) (← links)
• Parzen windows for multi-class classification (Q958247) (← links)
• Switching systems: active mode recognition, identification of the switching law (Q983325) (← links)
• Support vector machines for classification of aggregates by means of IR-spectra (Q1001144) (← links)
• SVM-like decision theoretical classification of high-dimensional vectors (Q1044064) (← links)
• A multi-class large margin classifier (Q1045595) (← links)
• A method to make multiple hypotheses with high cumulative recognition rate using SVMs. (Q1425940) (← links)
• On learning multicategory classification with sample queries. (Q1427857) (← links)
• Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach (Q1644084) (← links)
• A multi-class SVM approach based on the \( l_1\)-norm minimization of the distances between the reduced convex hulls (Q1677845) (← links)
• An LP-based \(k\)-means algorithm for balancing weighted point sets (Q1694906) (← links)
• Adaptively weighted large-margin angle-based classifiers (Q1750000) (← links)
• Multi-class second-order cone programming support vector machines (Q1750615) (← links)
• Optimization approaches to supervised classification (Q1753623) (← links)
• Deformation of log-likelihood loss function for multiclass boosting (Q1784701) (← links)
• Multiclass LS-SVMs: Moderated outputs and coding-decoding schemes (Q1857728) (← links)
• A clustering technique for the identification of piecewise affine systems (Q1869260) (← links)
• Support-vector networks (Q1900989) (← links)
• Maximizing upgrading and downgrading margins for ordinal regression (Q1935916) (← links)
• Adversarial noise attacks of deep learning architectures: stability analysis via sparse-modeled signals (Q1988345) (← links)
• Multicategory classification via forward-backward support vector machine (Q2006962) (← links)
• Persistence of excitation for identifying switched linear systems (Q2071985) (← links)
• Multicriteria optimization techniques in SVM method for the classification problem (Q2091416) (← links)
• Optimal arrangements of hyperplanes for SVM-based multiclass classification (Q2183661) (← links)
• An analysis of the sensitivity and stability of patients' preferences can lead to more appropriate medical decisions (Q2212297) (← links)
• Selective support vector machines (Q2271140) (← links)
• Multicategory classification via discrete support vector machines (Q2271795) (← links)
• Efficient decision trees for multi-class support vector machines using entropy and generalization error estimation (Q2316469) (← links)
• Interaction between financial risk measures and machine learning methods (Q2355190) (← links)
• Theory and applications of Clifford support vector machines (Q2384125) (← links)
• Multi-class learning by smoothed boosting (Q2384151) (← links)
• Multi-class support vector machine classifiers using intrinsic and penalty graphs (Q2416974) (← links)
• Power diagram detection with applications to information elicitation (Q2420775) (← links)
• Nonlinear system identification for prostate cancer and optimality of intermittent androgen suppression therapy (Q2435994) (← links)
• A vector-valued support vector machine model for multiclass problem (Q2446454) (← links)
• Fingerprint classification using one-vs-all support vector machines dynamically ordered with naïve Bayes classifiers (Q2459573) (← links)
• Operations research and data mining (Q2467295) (← links)