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Journal of Machine Learning Research, ISSN 1532-4435, 01/2009, Volume 10, pp. 207 - 244
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2002, Volume 2, Issue 4, pp. 721 - 747
In this paper, we discuss round robin classification (aka pairwise classification), a technique for handling multi-class problems with binary classifiers by... 
Inductive rule learning | Class binarization | Ensemble techniques | Multi-class problems | Pairwise classification | pairwise classification | NEURAL NETWORKS | inductive rule learning | ensemble techniques | ALGORITHMS | class binarization | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | multi-class problems
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2017, Volume 65, pp. 136 - 145
Many classification approaches first represent a test sample using the training samples of all the classes. This collaborative representation is then used to... 
Multi-class classification | Sparse representation | Collaborative representation | FACE RECOGNITION | DISCRIMINATIVE DICTIONARY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Electrical engineering | Analysis
Journal Article
Neural Networks, ISSN 0893-6080, 11/2012, Volume 35, pp. 46 - 53
Journal Article
Pattern Recognition, ISSN 0031-3203, 2007, Volume 40, Issue 1, pp. 4 - 18
Multi-class pattern classification has many applications including text document classification, speech recognition, object recognition, etc. Multi-class... 
Multi-class classification | Pattern recognition | Neural networks | Machine learning | machine learning | multi-class classification | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | neural networks | pattern recognition | ENGINEERING, ELECTRICAL & ELECTRONIC | Architecture | Analysis
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 12/2016, Volume 84, pp. 99 - 106
We consider multi-class classification models built from complete sets of pairwise binary classifiers. The Bradley–Terry model is often used to estimate... 
Bradley–Terry model | Multi-class classification | Bayes classifier | Combining binary classifiers | TIMIT | Vowel classification | Bradley-Terry model | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Monte Carlo method
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2016, Volume 38, Issue 11, pp. 2335 - 2341
Journal Article
Machine Learning, ISSN 0885-6125, 5/2019, Volume 108, Issue 5, pp. 809 - 830
A common way of solving a multi-class classification problem is to decompose it into a collection of simpler two-class problems. One major disadvantage is that... 
Control, Robotics, Mechatronics | Artificial Intelligence | Computer Science | Natural Language Processing (NLP) | N-ary ECOC | Multi-class classification | Simulation and Modeling | Ensemble learning | BINARY | SVM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | VECTOR MACHINES | Machine learning | State of the art | Decomposition | Error correction | Classification
Journal Article
Proteins: Structure, Function, and Bioinformatics, ISSN 0887-3585, 03/2008, Volume 70, Issue 4, pp. 1125 - 1132
Journal Article
Computers and Electronics in Agriculture, ISSN 0168-1699, 2010, Volume 70, Issue 1, pp. 96 - 104
Contemporary Vision and Pattern Recognition problems such as face recognition, fingerprinting identification, image categorization, and DNA sequencing often... 
Feature and classifier fusion | Multi-class from binary | Automatic produce classification | Image classification | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | AGRICULTURE, MULTIDISCIPLINARY | OBJECTS | Computer science | Vegetables | Algorithms | Analysis | Produce industry
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2015, Volume 48, Issue 5, pp. 1577 - 1597
Traditional multi-class classification models are based on labeled data and are not applicable to unlabeled data. To overcome this limitation, this paper... 
MC_SVMA model | Support vector machine | Multi-class classification with unknown categories | Active learning | MC-SVMA model | QUERY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Learning | Support vector machines | Computation | Classification | Strategy | Labels | Pattern recognition | Compatibility | Mines
Journal Article
PATTERN RECOGNITION LETTERS, ISSN 0167-8655, 12/2016, Volume 84, pp. 99 - 106
We consider multi-class classification models built from complete sets of pairwise binary classifiers. The Bradley-Terry model is often used to estimate... 
Combining binary classifiers | TIMIT | SUPPORT | Vowel classification | Multi-class classification | Bradley-Terry model | Bayes classifier | NETWORKS | IDENTIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Signal Processing, ISSN 0165-1684, 07/2018, Volume 148, pp. 68 - 77
Classification is one of the most important tasks carried out by intelligent systems. Recent works have proposed deep learning to solve the classification... 
Multi-class classification | Belief functions | Hierarchical clustering | Decision making | Error rate | SUPPORT VECTOR MACHINES | LOCALIZATION | NUMBER | FACE RECOGNITION | REPRESENTATION | NETWORKS | NAIVE BAYES | COMBINATION | ENGINEERING, ELECTRICAL & ELECTRONIC | FEATURE-SELECTION | DIVERGENCE | Usage | Sensors | Analysis | Methods
Journal Article
Information Sciences, ISSN 0020-0255, 05/2019, Volume 484, pp. 14 - 26
Brain-computer interface (BCI) is a promising technology to help disabled people to interact with the world only through their brain signals. These systems are... 
Dempster–Shafer theory | Brain-computer interfaces | Motor imagery | Multi-class | Common spatial patterns | ENSEMBLE | FILTERS | COMPUTER SCIENCE, INFORMATION SYSTEMS | Dempster-Shafer theory | PATTERNS | SINGLE-TRIAL EEG | SETS | UNCERTAINTY | INFORMATION FUSION | Disabled persons | Algorithms | Analysis | Methods
Journal Article
Pattern Recognition, ISSN 0031-3203, 11/2018, Volume 83, pp. 34 - 51
In this paper we deal with the problem of addressing multi-class problems with decomposition strategies. Based on the divide-and-conquer principle, a... 
Dynamic classifier selection | Classifier ensemble | Ensemble pruning | One-class classification | Machine learning | Multi-class decomposition | DESIGN | KEEL | STRATEGY | COMPETENCE | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | ECOC | SOFTWARE TOOL | TREE | OPTIMIZATION | DIVERSITY
Journal Article
Pattern Recognition, ISSN 0031-3203, 03/2015, Volume 48, Issue 3, pp. 984 - 992
Twin K-class support vector classification (Twin-KSVC) is a novel multi-class method based on twin support vector machine (TWSVM). In this paper, we formulate... 
Multi-class classification | K-SVCR | Nonparallel plane | Twin support vector machine | Least squares | ROBUST | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Information Sciences, ISSN 0020-0255, 07/2017, Volume 394-395, pp. 38 - 52
Multi-class sentiment classification is a valuable research topic with extensive applications; however, studies in the field remain relatively scarce. In the... 
Support vector machine (SVM) algorithm | One-vs-one (OVO) strategy | Experimental study | Multi-class sentiment classification | TYPE-2 FUZZY VARIABLES | DESIGN | WEB | INFORMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | STRENGTH DETECTION | CHALLENGES | Management science | Business schools | Algorithms | Analysis | Methods
Journal Article