BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Using diversity measures for generating error-correcting output codes in classifier ensembles
Pattern Recognition Letters
Large Margin Methods for Structured and Interdependent Output Variables
The Journal of Machine Learning Research
Collective multi-label classification
Proceedings of the 14th ACM international conference on Information and knowledge management
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
ML-KNN: A lazy learning approach to multi-label learning
Pattern Recognition
Comparisons of sequence labeling algorithms and extensions
Proceedings of the 24th international conference on Machine learning
Random k-Labelsets: An Ensemble Method for Multilabel Classification
ECML '07 Proceedings of the 18th European conference on Machine Learning
Search-based structured prediction
Machine Learning
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Multi-category classification by soft-max combination of binary classifiers
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
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It is proposed in the paper a new method for structured output prediction using ensemble of classifiers composed on the basis of Error-Correcting Output Codes. It was presented that newly presented Multiple Classifier Method for Structured Output Prediction based on Error Correcting Output Codes requires comparable computation time in comparison to other accurate algorithms and simultaneously in the classification of more complex structures it provides much better results in the same computation time.