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Support vector machines for multi-class classification

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

inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
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Support-Vector Networks
inferredcites →https://doi.org/10.1007/bfb0026686openalex-snapshot
Improved pairwise coupling classification with correcting classifiers
inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot
A Tutorial on Support Vector Machines for Pattern Recognition
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A training algorithm for optimal margin classifiers
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Error-Correcting Output Codes: A General Method for Improving Multiclass Inductive Learning Programs
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Solving Multiclass Learning Problems via Error-Correcting Output Codes
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Pattern Classification and Scene Analysis.
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A comparative study of multi‐class support vector machines in the unifying framework of large margin classifiers
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Induction Machine Rotor Diagnosis Using Support Vector Machines and Rough Set
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Polychotomous Classification with Pairwise Classifiers: A New Voting Principle
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Human Splice Site Identification with Multiclass Support Vector Machines and Bagging
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K-SVCR. A Multi-class Support Vector Machine
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evolutionary Design of Code-matrices for Multiclass Problems
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Support Vector Machines for Multi-class Classification Problems
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Fast Training for Multi-Class Classification: K-SVCR
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Multiclass Support Vector Machines
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Predicting the Listing Status of Chinese Listed Companies Using Twin Multi-class Classification Support Vector Machine
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Classification of Gene Samples Using Pair-Wise Support Vector Machines
inferred← citeshttps://doi.org/10.17531/ein.2021.1.14openalex-snapshot
Induction motor fault classification via entropy and column correlation features of 2D represented vibration data
inferred← citeshttps://doi.org/10.17762/ijritcc.v9i9.5488openalex-snapshot
Advanced Driver-Assistance System with Traffic Sign Recognition for Safe and Efficient Driving
inferred← citeshttps://doi.org/10.18178/wcse.2017.06.234openalex-snapshot
A Prediction and Correction Model for Protein Secondary Structure Prediction
inferred← citeshttps://doi.org/10.18618/rep.20113.241248openalex-snapshot
Application of Some Artificial Intelligence Techniques in Induction Motor Fault Diagnosis
inferred← citeshttps://doi.org/10.19161/etd.1602958openalex-snapshot
Kopya sayısı varyasyonlarının makine öğrenmesi algoritmaları kullanılarak biyoinformatik analizi
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9178611/v1openalex-snapshot
Consensus molecular subtyping in colon cancer: from the design of in-house assay to prognostic nomogram
inferred← citeshttps://doi.org/10.21437/icslp.2002-643openalex-snapshot
Combined binary classifiers with applications to speech recognition
inferred← citeshttps://doi.org/10.22266/ijies2018.0430.12openalex-snapshot
A Hybrid Boosted-SVM Classifier for Recognizing Parts of 3D Objects
inferred← citeshttps://doi.org/10.22456/2175-2745.7016openalex-snapshot
Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses
inferred← citeshttps://doi.org/10.23939/mmc2026.02.518openalex-snapshot
Parametric Margin $\nu$-Granular-Ball SVM Using DC Programming
inferred← citeshttps://doi.org/10.24018/compute.2022.2.4.72openalex-snapshot
Predicting Psychiatric Disorder from the Classified Psychiatric Characteristics using Machine Learning Algorithm
inferred← citeshttps://doi.org/10.2478/acss-2025-0001openalex-snapshot
Method for Creating Domain-Specific Dataset Ontologies from Text in Uncontrolled English
inferred← citeshttps://doi.org/10.26634/jet.12.3.3742openalex-snapshot
AMOVA [�Accumulative Manifold Validation Analysis�]: An Advanced Statistical Methodology Designed To Measure and Test the Validity, Reliability, and Overall Efficacy of Inquiry�Based Psychometric Instruments
inferred← citeshttps://doi.org/10.3233/jifs-201799openalex-snapshot
Localization and classification of human facial emotions using local intensity order pattern and shape-based texture features
inferred← citeshttps://doi.org/10.3390/en14196199openalex-snapshot
Electric Vehicles Charging Management Using Machine Learning Considering Fast Charging and Vehicle-to-Grid Operation
inferred← citeshttps://doi.org/10.3390/photonics9030200openalex-snapshot
Structured Light Transmission under Free Space Jamming: An Enhanced Mode Identification and Signal-to-Jamming Ratio Estimation Using Machine Learning
inferred← citeshttps://doi.org/10.37823/insight.v3i01.126openalex-snapshot
Multilabel Text Classification Menggunakan SVM dan Doc2Vec Classification Pada Dokumen Berita Bahasa Indonesia
inferred← citeshttps://doi.org/10.3906/elk-1301-190openalex-snapshot
A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces
inferred← citeshttps://doi.org/10.4018/978-1-4666-5202-6.ch215openalex-snapshot
Support Vector Machine Models for Classification
inferred← citeshttps://doi.org/10.4018/ijban.329928openalex-snapshot
Sentic-Emotion Classifier on eWallet Reviews
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amm.602-605.2053openalex-snapshot
Power Transformer Fault Diagnosis System Based on Learn++
inferred← citeshttps://doi.org/10.4156/jcit.vol5.issue9.28openalex-snapshot
Second Order Cone Programming Formulations for Handling Data with Perturbation
inferred← citeshttps://doi.org/10.4236/jbise.2010.32025openalex-snapshot
Classification of non stationary signals using multiscale decomposition
inferred← citeshttps://doi.org/10.4304/jmm.4.2.80-86openalex-snapshot
Multi-pen Sketch Recognition in a Learning Environment
inferred← citeshttps://doi.org/10.48550/arxiv.1303.4614openalex-snapshot
Handwritten and Printed Text Separation in Real Document
inferred← citeshttps://doi.org/10.5220/0001193700520061openalex-snapshot
Combining Multiple Pairwise Neural Networks Classifiers: A Comparative Study
inferred← citeshttps://doi.org/10.54167/tch.v9i3.587openalex-snapshot
Una revision de redes MLP como clasificadores de multiples clases
inferred← citeshttps://doi.org/10.5555/1622637.1622651openalex-snapshot
A framework for kernel-based multi-category classification
inferred← citeshttps://doi.org/10.70675/2e34b78bza1bez4025z8d94zda6c61adce88openalex-snapshot
On the use of a discriminant approach for handwritten word recognition based on bi-character models
inferred← citeshttps://doi.org/10.7287/peerj-cs.557v0.1/reviews/1openalex-snapshot
Peer Review #1 of "EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.557v0.1/reviews/2openalex-snapshot
Peer Review #2 of "EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.557v0.2/reviews/2openalex-snapshot
Peer Review #2 of "EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.557v0.2/reviews/3openalex-snapshot
Peer Review #3 of "EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.557openalex-snapshot
EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification
inferred← citeshttps://doi.org/10.7763/ijapm.2012.v2.107openalex-snapshot
Multi-Class Support Vector Machines – A Comparative Approach
inferred← citeshttps://doi.org/10.7763/ijiet.2013.v3.236openalex-snapshot
Upper Body Pose Recognition with Labeled Depth Body Parts via Random Forests and Support Vector Machines
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.