Linear classifier

Known as: Classifier, Linear classification 
In the field of machine learning, the goal of statistical classification is to use an object's characteristics to identify which class (or group) it… (More)
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Highly Cited
2017
Highly Cited
2017
Intuitively, for a training sample xi with its associated label yi, a deep model is getting closer to the correct answer in the… (More)
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Highly Cited
2010
Highly Cited
2010
The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification… (More)
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Highly Cited
2009
Highly Cited
2009
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also… (More)
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Highly Cited
2008
Highly Cited
2008
LIBLINEAR is an open source library for large-scale linear classification. It supports logistic regression and linear support… (More)
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Highly Cited
2004
Highly Cited
2004
This paper explores feature scoring and selection based on weights from linear classification models. It investigates how these… (More)
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Highly Cited
2003
Highly Cited
2003
This paper presents a classifier-combination experimental framework for named entity recognition in which four diverse… (More)
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Highly Cited
2002
Highly Cited
2002
Recommender systems use historical data on user preferences and other available data on users (for example, demographics) and… (More)
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Highly Cited
2002
Highly Cited
2002
Recently bagging, boosting and the random subspace method have become popular combining techniques for improving weak classifiers… (More)
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Highly Cited
1998
Highly Cited
1998
Classifiers built on small training sets are usually biased or unstable. Different techniques exist to construct more stable… (More)
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Highly Cited
1998
Highly Cited
1998
The pseudo-Fisher linear classifier is considered as the ‘‘diagonal’’ Fisher linear classifier applied to the principal… (More)
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