Multi-Label Learning by Instance Differentiation
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Summary
Applications to automatic web page categorization, natural scene classification and gene functional analysis show that the proposed novel multi-label learning approach named INS-DIF outperforms several well-established multi- label learning algorithms.
- Type
- article
- Published
- 2007-07-22
- Cited by
- 83
- References
- 36
- OpenAlex
- https://openalex.org/W216283022
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5931961
Keywords
Ambiguity, Computer science, Class (philosophy), Artificial intelligence, Categorization
References
- MMAC: a new multi-class, multi-label associative classification approach
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- Multi-labelled classification using maximum entropy method
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- Toward memory-based reasoning
- Hierarchical document categorization with support vector machines
- ML-KNN: A lazy learning approach to multi-label learning
- BoosTexter: A Boosting-based System for Text Categorization
- Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
- Numerical Recipes in C: The Art of Scientific Computing
- An Evaluation of Statistical Approaches to Text Categorization
- Machine learning in automated text categorization
- A MFoM learning approach to robust multiclass multi-label text categorization
- Constraint Classification for Multiclass Classification and Ranking
- Parametric Mixture Models for Multi-Labeled Text
- Learning hierarchical multi-category text classification models
- Multi-label associative classification of medical documents from MEDLINE
Cited by
- Multi-instance multi-label learning
- Large-Scale Multi-Label Learning with Incomplete Label Assignments
- Facial Age Estimation by Learning from Label Distributions
- Comparison of multilabel problem transformation methods for text mining
- Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning
- Semi-automatic dynamic auxiliary-tag-aided image annotation
- An algorithm for multi-label learning based on minimum threshold
- Multi-label learning by Image-to-Class distance for scene classification and image annotation
- Automatic Image Annotation and Retrieval using Multi-Instance Multi-Label Learning
- The Advances in Multi-label Classification
- Learning similarity metric to improve the performance of lazy multi-label ranking algorithms
- Iterative classification for multiple target attributes
- Label Distribution Learning
- A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method
- A Tutorial on Multilabel Learning
- Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning
- Bayesian multi-instance multi-label learning using Gaussian process prior
- Multi-Label Classification Method for Multimedia Tagging
- Categorization of Multiple Objects in a Scene Using a Biased Sampling Strategy
- Computationally efficient multi-label classification by least-squares probabilistic classifier
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