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Multiclass classification

Known as: Multiclass labeling, Multi-class categorization, Multiclass classifier 
In machine learning, multiclass or multinomial classification is the problem of classifying instances into one of the more than two classes… 
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Related topics

Related topics

18 relations
Automatic image annotationBinary classificationCalibration (statistics)Deep learning

Broader (1)

Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Fusion of ANN and SVM classifiers for network attack detection
With the progressive increase of network application and electronic devices (computer, mobile phones, android, etc), attack and… 
2016
2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention
On microblogging services, people usually use hashtags to mark microblogs, which have a specific theme or content, making them… 
2013
2013
A genetic-based subspace analysis method for improving Error-Correcting Output Coding
2012
2012
Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classifier, which assigns a test… 
2011
2011
Discovery of Knowledge Patterns in Clinical Data through Data Mining Algorithms: Multi-class Categorization of Breast Tissue Data
This paper highlights the significance of classification in data mining and knowledge discovery. In this paper we investigate the… 
2010
2010
Research on SVM Classification Performance in Rolling Bearing Diagnosis
SVM are introduced into rolling bearings intelligent fault diagnosis due to the fact that it is hard to obtain enough fault… 
Highly Cited
2008
Highly Cited
2008
Classification model for product form design using fuzzy support vector machines
Review
2005
Review
2005
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target… 
2004
2004
Fuzzy LP-SVMs for Multiclass Problems
In this paper, we propose fuzzy linear programming sup- port vector machines (LP-SVMs) that resolve unclassifiable regions for… 
2002
2002
Multiclass Learning by Probabilistic Embeddings
We describe a new algorithmic framework for learning multiclass categorization problems. In this framework a multiclass predictor… 
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