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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

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35 relations
Automatic summarizationBayesian networkCalibration (statistics)Complexity

Broader (2)

Machine learningStatistical classification

Papers overview

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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
Experimental Results on the Native Language Identification Shared Task
We present a system for automatically identifying the native language of a writer. We experiment with a large set of features and… 
2012
2012
Rule Mining Framework for Students Performance Evaluation
: Academic Data Mining used many techniques such as Decision Trees, Neural Networks, Naïve Bayes, K-Nearest neighbor, and many… 
2011
2011
Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution
This paper describes our event extraction system that participated in the bacteria biotopes task in BioNLP Shared Task 2011. The… 
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… 
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… 
2004
2004
Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly…