Machine Learning
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Hierarchical Text Categorization Using Neural Networks
Information Retrieval
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Large margin hierarchical classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Predicting good probabilities with supervised learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
Learning hierarchical multi-category text classification models
ICML '05 Proceedings of the 22nd international conference on Machine learning
Incremental Algorithms for Hierarchical Classification
The Journal of Machine Learning Research
An online algorithm for hierarchical phoneme classification
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Classifying imbalanced data using a bagging ensemble variation (BEV)
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Improving railroad wheel inspection planning using classification methods
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Topic taxonomy adaptation for group profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
HISSCLU: a hierarchical density-based method for semi-supervised clustering
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Training structural SVMs when exact inference is intractable
Proceedings of the 25th international conference on Machine learning
Building Quality-Based Views of the Web
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Semantic lattices for multiple annotation of images
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Hierarchical Classification of Web Pages Using Support Vector Machine
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
A hidden Markov model-based text classification of medical documents
Journal of Information Science
Refined experts: improving classification in large taxonomies
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Multi-class Boosting with Class Hierarchies
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Exploiting known taxonomies in learning overlapping concepts
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Hunting for truly relevant articles in bioinformatics literature: a preliminary study
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Mr.KNN: soft relevance for multi-label classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
A survey of hierarchical classification across different application domains
Data Mining and Knowledge Discovery
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Multi-instance multi-label learning
Artificial Intelligence
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
The Journal of Machine Learning Research
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
An evaluation of classification models for question topic categorization
Journal of the American Society for Information Science and Technology
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Multilabel relationship learning
ACM Transactions on Knowledge Discovery from Data (TKDD)
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We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work showed that a simple hierarchy of Support Vectors Machines (SVM) with a top-down evaluation scheme has a surprisingly good performance on this kind of task. In this paper, we introduce a refined evaluation scheme which turns the hierarchical SVM classifier into an approximator of the Bayes optimal classifier with respect to a simple stochastic model for the labels. Experiments on synthetic datasets, generated according to this stochastic model, show that our refined algorithm outperforms the simple hierarchical SVM. On real-world data, however, the advantage brought by our approach is a bit less clear. We conjecture this is due to a higher noise rate for the training labels in the low levels of the taxonomy.