Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Linear Programming Boosting via Column Generation
Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Building Hierarchical Classifiers Using Class Proximity
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Support vector machine learning for interdependent and structured output spaces
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Large margin hierarchical classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Hierarchical document categorization with support vector machines
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Learning hierarchical multi-category text classification models
ICML '05 Proceedings of the 22nd international conference on Machine learning
Hierarchical classification: combining Bayes with SVM
ICML '06 Proceedings of the 23rd international conference on Machine learning
Feature Selection in Taxonomies with Applications to Paleontology
DS '08 Proceedings of the 11th International Conference on Discovery Science
Preferential text classification: learning algorithms and evaluation measures
Information Retrieval
Hierarchical multi-class text categorization with global margin maximization
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Detecting relationships among categories using text classification
Journal of the American Society for Information Science and Technology
A semi-dependent decomposition approach to learn hierarchical classifiers
Pattern Recognition
A survey of hierarchical classification across different application domains
Data Mining and Knowledge Discovery
Hierarchical text classification with latent concepts
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Hierarchical multilabel protein function prediction using local neural networks
BSB'11 Proceedings of the 6th Brazilian conference on Advances in bioinformatics and computational biology
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
A genetic algorithm for Hierarchical Multi-Label Classification
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Taxonomic multi-class prediction and person layout using efficient structured ranking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Intelligent Data Analysis
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Many real-world classification problems involve large numbers of overlapping categories that are arranged in a hierarchy or taxonomy. We propose to incorporate prior knowledge on category taxonomy directly into the learning architecture. We present two concrete multi-label classification methods, a generalized version of Perceptron and a hierarchical multi-label SVM learning. Our method works with arbitrary, not necessarily singly connected taxonomies, and can be applied more generally in settings where categories are characterized by attributes and relations that are not necessarily induced by a taxonomy. Experimental results on WIPO-alpha collection show that our hierarchical methods bring significant performance improvement.