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Multi-label classification

Known as: Algorithm adaptation methods, Multi-label, RAKEL 
In machine learning, multi-label classification and the strongly related problem of multi-output classification are variants of the classification… 
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Related topics

Related topics

24 relations
AdaBoostBinary classificationBoosting (machine learning)Categorization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Benchmarking Multi-label Classification Algorithms
24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS'16), Dublin, Ireland, 20-21 September 2016 
2016
2016
Aggregating Inter-Sentence Information to Enhance Relation Extraction
Previous work for relation extraction from free text is mainly based on intra-sentence information. As relations might be… 
2014
2014
Robust Semi-Automatic Depth Map Generation in Unconstrained Images and Video Sequences for 2D to Stereoscopic 3D Conversion
We describe a system for robustly estimating synthetic depth maps in unconstrained images and videos, for semi-automatic… 
2013
2013
Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs
The imbalanced sentiment distribution of microblogs induces bad performance of binary classifiers on the minority class. To… 
2013
2013
Large-Scale Semantic Indexing of Biomedical Publications
. Automated annotation of scientific publications in real-world digital libraries requires dealing with challenges such as large… 
2010
2010
Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of… 
2010
2010
A Simple Approach to Incorporate Label Dependency in Multi-label Classification
In multi-label classification, each example can be associated with multiple labels simultaneously. The task of learning from… 
2009
2009
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the… 
2003
2003
Reasoning about distances
The paper presents a novel expressive logic-based formalism intended for reasoning about numerical distances. We investigate its… 
2000
2000
Color and/or texture segmentation using deterministic relaxation and fast marching algorithms
The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for… 
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