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Nested Support Vector Machines

https://doi.org/10.1109/tsp.2009.2036071

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Nonlinear Programming

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Estimating the Cluster Tree of a Density by Analyzing the Minimal Spanning Tree of a Sample

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How to Compare Different Loss Functions and Their Risks

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Nonlinear programming: theory and algorithms

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Orexin Neurons and the TASK of Glucosensing

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Support vector domain description

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Consistency of Single Linkage for High-Density Clusters

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An introduction to kernel-based learning algorithms

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The One Class Support Vector Machine Solution Path

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Nested support vector machines

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Annotated Minimum Volume Sets for Nonparametric Anomaly Discovery

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Multivariate analysis by data depth: descriptive statistics, graphics and inference, (with discussion and a rejoinder by Liu and Singh)

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Considering Cost Asymmetry in Learning Classifiers

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On the algorithmic implementation of multiclass kernel-based vector machines

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Large Margin Rank Boundaries for Ordinal Regression

What points at this work

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Methodologies for assessing costs of rail transit systems based on small sample data

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Nested One-Class Support Vector Machines for Network Intrusion Detection

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Calibration of One-Class SVM for MV set estimation

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Finding Type 2 Diabetes Using Sparse Balanced Support Vector Machine in Electronic Health Records

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Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method

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Support Vector Machine for the Classification of Images Captured by WMSN

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Adapting Surgical Models to Individual Hospitals Using Transfer Learning

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A New Object Detection Method Based on T Mutation PSO for SVM Parameter Optimization

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Semi-supervised and unsupervised novelty detection using nested support vector machines

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Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine

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A Unifying Review of Deep and Shallow Anomaly Detection

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Machine learning for digital pulse shape discrimination

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Unsupervised change detection via hierarchical support vector clustering

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Optimal Classification by Mixed-Initiative Nested Thresholding

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Semi-Supervised Novelty Detection Using SVM Entire Solution Path

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One-Class SVM Probabilistic Outputs

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Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM

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Advanced Astroinformatics for Variable Star Classification

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Recherche de biomarqueurs par l’analyse multivariée d’images paramétriques multimodales pour le bilan non-invasif préchirurgical de l’épilepsie focale pharmaco-résistante

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