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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.
Highly Cited
2014
Highly Cited
2014
Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets
This article describes a strategy based on a naive-bayes classifier for detecting the polarity of English tweets. The experiments… 
Highly Cited
2014
Highly Cited
2014
Music Genre and Emotion Recognition Using Gaussian Processes
Gaussian Processes (GPs) are Bayesian nonparametric models that are becoming more and more popular for their superior… 
Highly Cited
2012
Highly Cited
2012
Building Decision Trees for the Multi-class Imbalance Problem
Learning in imbalanced datasets is a pervasive problem prevalent in a wide variety of real-world applications. In imbalanced… 
Highly Cited
2009
Highly Cited
2009
Comparing the performance of different neural networks for binary classification problems
Classification problem is a decision making task where many researchers have been working on. There are a number of techniques… 
Highly Cited
2009
Highly Cited
2009
Multiple criteria mathematical programming for multi-class classification and application in network intrusion detection
Highly Cited
2008
Highly Cited
2008
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same… 
2008
2008
Online generation of scene descriptions in urban environments
2008
2008
Monitoring of the sediment dynamics along a sandy shoreline by means of airborne hyperspectral remote sensing and LIDAR: a case study in Belgium
Airborne hyperspectral data and airborne laserscan or LIDAR data were applied to analyse the sediment transport and the beach… 
Highly Cited
2007
Highly Cited
2007
Efficient Convex Relaxation for Transductive Support Vector Machine
We consider the problem of Support Vector Machine transduction, which involves a combinatorial problem with exponential… 
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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