A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Support Vector Machines for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise classification and support vector machines
Advances in kernel methods
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Machine Learning
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Binary Classification Trees for Multi-class Classification Problems
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
The Journal of Machine Learning Research
The Journal of Machine Learning Research
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
Ensembles of nested dichotomies for multi-class problems
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A hierarchical method for multi-class support vector machines
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Probability Estimates for Multi-class Classification by Pairwise Coupling
The Journal of Machine Learning Research
Using diversity measures for generating error-correcting output codes in classifier ensembles
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Journal of Machine Learning Research
Evolutionary design of multiclass support vector machines
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - VIII Brazilian Symposium on Neural Networks
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Decoding of ternary error correcting output codes
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Half-Against-Half multi-class support vector machines
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Which is the best multiclass SVM method? an empirical study
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
New results on error correcting output codes of kernel machines
IEEE Transactions on Neural Networks
A new method for MR grayscale inhomogeneity correction
Artificial Intelligence Review
Unsupervized data-driven partitioning of multiclass problems
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
A new ensemble-based cascaded framework for multiclass training with simple weak learners
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Efficient prediction algorithms for binary decomposition techniques
Data Mining and Knowledge Discovery
A first study on decomposition strategies with data with class noise using decision trees
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Enhancing directed binary trees for multi-class classification
Information Sciences: an International Journal
TrueSkill-Based pairwise coupling for multi-class classification
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
New spatial based MRI image de-noising algorithm
Artificial Intelligence Review
Novel multiclass classification for home-based diagnosis of sleep apnea hypopnea syndrome
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
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Several real problems involve the classification of data into categories or classes. Given a data set containing data whose classes are known, Machine Learning algorithms can be employed for the induction of a classifier able to predict the class of new data from the same domain, performing the desired discrimination. Some learning techniques are originally conceived for the solution of problems with only two classes, also named binary classification problems. However, many problems require the discrimination of examples into more than two categories or classes. This paper presents a survey on the main strategies for the generalization of binary classifiers to problems with more than two classes, known as multiclass classification problems. The focus is on strategies that decompose the original multiclass problem into multiple binary subtasks, whose outputs are combined to obtain the final prediction.