Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A re-examination of text categorization methods
Proceedings of the 22nd 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
A new family of online algorithms for category ranking
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Text Categorization Based on Regularized Linear Classification Methods
Information Retrieval
A MFoM learning approach to robust multiclass multi-label text categorization
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
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study
IEEE Transactions on Knowledge and Data Engineering
On applying linear discriminant analysis for multi-labeled problems
Pattern Recognition Letters
Discovering relationships among categories using misclassification information
Proceedings of the 2008 ACM symposium on Applied computing
On Applying Dimension Reduction for Multi-labeled Problems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Random k-Labelsets: An Ensemble Method for Multilabel Classification
ECML '07 Proceedings of the 18th European conference on Machine Learning
Classification of Multi-labeled Data: A Generative Approach
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
INDUCTION FROM MULTI-LABEL EXAMPLES IN INFORMATION RETRIEVAL SYSTEMS: A CASE STUDY
Applied Artificial Intelligence
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Online multi-label active annotation: towards large-scale content-based video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Large scale multi-label classification via metalabeler
Proceedings of the 18th international conference on World wide web
Ml-rbf: RBF Neural Networks for Multi-Label Learning
Neural Processing Letters
A systematic analysis of performance measures for classification tasks
Information Processing and Management: an International Journal
Clinical text classification under the Open and Closed Topic Assumptions
International Journal of Data Mining and Bioinformatics
Feature selection for multi-label naive Bayes classification
Information Sciences: an International Journal
Semi-supervised multi-label learning by constrained non-negative matrix factorization
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Multi-label learning by instance differentiation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Semi-automatic dynamic auxiliary-tag-aided image annotation
Pattern Recognition
Context-based multi-label image annotation
Proceedings of the ACM International Conference on Image and Video Retrieval
Hidden-concept driven image decomposition towards semi-supervised multi-label image annotation
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Detecting relationships among categories using text classification
Journal of the American Society for Information Science and Technology
Mining positive and negative patterns for relevance feature discovery
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-label learning by exploiting label dependency
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised transfer classification: application to text categorization
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Multilabel dimensionality reduction via dependence maximization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Combine multi-valued attribute decomposition with multi-label learning
Expert Systems with Applications: An International Journal
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
Multi-label feature transform for image classifications
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Discovering missing values in semi-structured databases
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Towards multi-semantic image annotation with graph regularized exclusive group lasso
MM '11 Proceedings of the 19th ACM international conference on Multimedia
LIFT: multi-label learning with label-specific features
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Sentiment classification with supervised sequence embedding
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Semi-supervised multi-label classification: a simultaneous large-margin, subspace learning approach
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Multi-Label Classification Method for Multimedia Tagging
International Journal of Multimedia Data Engineering & Management
M4L: Maximum margin Multi-instance Multi-cluster Learning for scene modeling
Pattern Recognition
An efficient probabilistic framework for multi-dimensional classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Probabilistic multi-label classification with sparse feature learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
International Journal of Computer Vision
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Many classification problems require classifiers to assign each single document into more than one category, which is called multi-labelled classification. The categories in such problems usually are neither conditionally independent from each other nor mutually exclusive, therefore it is not trivial to directly employ state-of-the-art classification algorithms without losing information of relation among categories. In this paper, we explore correlations among categories with maximum entropy method and derive a classification algorithm for multi-labelled documents. Our experiments show that this method significantly outperforms the combination of single label approach.