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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… Expand
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Related topics

Related topics

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Automatic summarizationBayesian networkCalibration (statistics)Complexity
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Broader (2)

Machine learningStatistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Network Representation Learning: A Survey
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex… Expand
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Review
2018
Review
2018
High dimensional data classification and feature selection using support vector machines
In many big-data systems, large amounts of information are recorded and stored for analytics purposes. Often however, this vast… Expand
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Review
2017
Review
2017
Image Aesthetic Assessment: An experimental survey
This article reviews recent computer vision techniques used in the assessment of image aesthetic quality. Image aesthetic… Expand
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Highly Cited
2010
Highly Cited
2010
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured… Expand
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Highly Cited
2010
Highly Cited
2010
A discrete particle swarm optimization method for feature selection in binary classification problems
This paper investigates the feature subset selection problem for the binary classification problem using logistic regression… Expand
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Highly Cited
2009
Highly Cited
2009
On integral probability metrics, \phi-divergences and binary classification
A class of distance measures on probabilities -- the integral probability metrics (IPMs) -- is addressed: these include the… Expand
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Highly Cited
2007
Highly Cited
2007
Demographic Classification with Local Binary Patterns
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this… Expand
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Highly Cited
2006
Highly Cited
2006
Ordinal Regression by Extended Binary Classification
We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework… Expand
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Highly Cited
2002
Highly Cited
2002
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider… Expand
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Highly Cited
2000
Highly Cited
2000
Iterative Classification in Relational Data
Relational data offer a unique opportunity for improving the c lassification accuracy o f statistical m odels. If two objects are… Expand
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