An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
High-performing feature selection for text classification
Proceedings of the eleventh international conference on Information and knowledge management
Knowledge Discovery in Multi-label Phenotype Data
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
A family of additive online algorithms for category ranking
The Journal of Machine Learning Research
Multi-labelled classification using maximum entropy method
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Collective multi-label classification
Proceedings of the 14th ACM international conference on Information and knowledge management
Correlated Label Propagation with Application to Multi-label Learning
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Selective fusion of heterogeneous classifiers
Intelligent Data Analysis
A Unified Model for Multilabel Classification and Ranking
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Decision trees for hierarchical multi-label classification
Machine Learning
An Empirical Study of Lazy Multilabel Classification Algorithms
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Multi-label Classification with Gene Expression Programming
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques
BSB '09 Proceedings of the 4th Brazilian Symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
ART-Based Neural Networks for Multi-label Classification
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Classifier Chains for Multi-label Classification
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
The effect of semantic relatedness measures on multi-label classification evaluation
Proceedings of the ACM International Conference on Image and Video Retrieval
Multi-label learning by exploiting label dependency
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Combine multi-valued attribute decomposition with multi-label learning
Expert Systems with Applications: An International Journal
PinDr0p: using single-ended audio features to determine call provenance
Proceedings of the 17th ACM conference on Computer and communications security
Mr.KNN: soft relevance for multi-label classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Evidential multi-label classification approach to learning from data with imprecise labels
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
International Journal of Approximate Reasoning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
Journal of Artificial Intelligence Research
Multilabel classification using error correction codes
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Overview of the photo annotation task in imageCLEF@ICPR
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Multiple classifier method for structured output prediction based on error correcting output codes
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A multilabel text classification algorithm for labeling risk factors in SEC form 10-K
ACM Transactions on Management Information Systems (TMIS)
Aggregating independent and dependent models to learn multi-label classifiers
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Exploiting online music tags for music emotion classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Two stage architecture for multi-label learning
Pattern Recognition
Using random walks for multi-label classification
Proceedings of the 20th ACM international conference on Information and knowledge management
RW.KNN: a proposed random walk KNN algorithm for multi-label classification
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
An efficient multi-label support vector machine with a zero label
Expert Systems with Applications: An International Journal
Multilabel classification using heterogeneous ensemble of multi-label classifiers
Pattern Recognition Letters
Evolving multi-label classification rules with gene expression programming: a preliminary study
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Improving multilabel classification performance by using ensemble of multi-label classifiers
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
A model for multi-label classification and ranking of learning objects
Expert Systems with Applications: An International Journal
An extensive experimental comparison of methods for multi-label learning
Pattern Recognition
Improving multi-label classifiers via label reduction with association rules
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
LIFT: multi-label learning with label-specific features
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Labelset anchored subspace ensemble (LASE) for multi-label annotation
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Multi-label image annotation based on neighbor pair correlation chain
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Evaluating credal classifiers by utility-discounted predictive accuracy
International Journal of Approximate Reasoning
Mining noisy tagging from multi-label space
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Multi-label ensemble based on variable pairwise constraint projection
Information Sciences: an International Journal
Hamming selection pruned sets (HSPS) for efficient multi-label video classification
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Towards a semi-automatic personal digital diary: detecting daily activities from smartphone sensors
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Feature selection for multi-label classification using multivariate mutual information
Pattern Recognition Letters
Multi-Label Classification Method for Multimedia Tagging
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Iterative classification for multiple target attributes
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Exploiting label dependencies for improved sample complexity
Machine Learning
Relational large scale multi-label classification method for video categorization
Multimedia Tools and Applications
Tag recommendation in software information sites
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Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages
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Multi-label classification based on analog reasoning
Expert Systems with Applications: An International Journal
Bayesian Canonical correlation analysis
The Journal of Machine Learning Research
Evaluation of Label Dependency for the Prediction of HLA Genes
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Neighborhood rough sets based multi-label classification for automatic image annotation
International Journal of Approximate Reasoning
Dependent binary relevance models for multi-label classification
Pattern Recognition
Multi-label classification by exploiting label correlations
Expert Systems with Applications: An International Journal
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
Intelligent Data Analysis
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This paper proposes an ensemble method for multilabel classification. The RAndom k-labELsets (RAKEL) algorithm constructs each member of the ensemble by considering a small random subset of labels and learning a single-label classifier for the prediction of each element in the powerset of this subset. In this way, the proposed algorithm aims to take into account label correlations using single-label classifiers that are applied on subtasks with manageable number of labels and adequate number of examples per label. Experimental results on common multilabel domains involving protein, document and scene classification show that better performance can be achieved compared to popular multilabel classification approaches.