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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… (More)
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Topic mentions per year

Topic mentions per year

1964-2018
020040019642018

Related topics

Related topics

36 relations
Automatic summarizationBayesian networkCalibrationComplexity
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Broader (1)

Machine learning

Related mentions per year

Related mentions per year

1936-2019
19401960198020002020
Binary classification
Statistical classification
Machine learning
Precision and recall
Calibration
Support vector machine

Papers overview

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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… (More)
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Highly Cited
2009
Highly Cited
2009
A systematic analysis of performance measures for classification tasks
Article history: Received 14 February 2008 Received in revised form 21 November 2008 Accepted 6 March 2009 Available online 8 May… (More)
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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… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
Distance Metric Learning for Large Margin Nearest Neighbor Classification
We show how to learn aMahanalobis distance metric for k-nearest neighbor (kNN) classification by semidefinite programming. The… (More)
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Highly Cited
2004
Highly Cited
2004
Statistical Behavior and Consistency of Classification Methods Based on Convex Risk Minimization
We study how closely the optimal Bayes error rate can be approximately reached using a classification algorithm that computes a… (More)
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Highly Cited
2003
Highly Cited
2003
Regularized Least-Squares Classification
We consider the solution of binary classification problems via Tikhonov regularization in a Reproducing Kernel Hilbert Space… (More)
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Highly Cited
2002
Highly Cited
2002
A comparison of methods for multiclass support vector machines
Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass… (More)
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Highly Cited
2001
Highly Cited
2001
SVM Binary Classifier Ensembles for Image Classification
We study how the SVM-based binary classifiers can be effectively combined to tackle the multi-class image classification problem… (More)
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Highly Cited
2000
Highly Cited
2000
Iterative Classification in Relational Data
Relational data offer a unique opportunity for improving the classification accuracy of statistical models. If two objects are… (More)
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