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Binary classification

Known as: Binary classifier, Binary categorization, Binary test 
Binary or binomial classification is the task of classifying the elements of a given set into two groups on the basis of a classification rule… 
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Related topics

Related topics

35 relations
Automatic summarizationBayesian networkCalibration (statistics)Complexity

Broader (2)

Machine learningStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Large-Margin Multi-Label Causal Feature Learning
In multi-label learning, an example is represented by a descriptive feature associated with several labels. Simply… 
2014
2014
HLTCOE at TREC 2014: Microblog and Clinical Decision Support
Our team submitted runs for both the Microblog and Clinical Decision Support tracks. For the Microblog track, we participated in… 
2013
2013
NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
This paper describes the Nara Institute of Science and Technology (NAIST) error correction system in the CoNLL 2013 Shared Task… 
2013
2013
TASS: A Naive-Bayes strategy for sentiment analysis on Spanish tweets
espanolEn este articulo, se describe la estrategia que subyace al sistema presentado por nuestro grupo para la tarea de analisis… 
Highly Cited
2006
Highly Cited
2006
Granular SVM with Repetitive Undersampling for Highly Imbalanced Protein Homology Prediction
Highly imbalanced classification is important and increasingly common with emergence of new machine learning application domains… 
2006
2006
Manifold-Ranking-Based Keyword Propagation for Image Retrieval
A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In… 
2005
2005
Filtering-Ranking Perceptron Learning for Partial Parsing
This work introduces a general phrase recognition system based on perceptrons, and a global online learning algorithm to train… 
2005
2005
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation
Support Vector Machines constitute a powerful Machine Learning technique originally designed for the solution of 2-class problems… 
Review
2003
Review
2003
Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes
This article reports our progress in the classification of expressions of emotion in network-based chat conversations. Emotion… 
Highly Cited
2003
Highly Cited
2003
Learning cross-document structural relationships using boosting
Multi-document discoure analysis has emerged with the potential of improving various information retrieval applications. Based on… 
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