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Statistical classification

Known as: Classifier, Classification (machine learning), Classification 
In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Abstract The increasing volume of user-generated content on the web has made sentiment analysis an important tool for the… Expand
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Review
2018
Review
2018
Abstract The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the… Expand
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Review
2018
Review
2018
New high-data-rate multimedia services and applications are evolving continuously and exponentially increasing the demand for… Expand
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Review
2017
Review
2017
Due to the frequency of malicious network activities and network policy violations, intrusion detection systems (IDSs) have… Expand
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Review
2017
Review
2017
Software-defined networking (SDN) is an emerging paradigm that has become increasingly popular in recent years. The core idea is… Expand
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Review
2017
Review
2017
In many areas of animal behaviour research, improvements in our ability to collect large and detailed data sets are outstripping… Expand
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Review
2017
Review
2017
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… Expand
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Review
2016
Review
2016
Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning… Expand
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Highly Cited
2003
Highly Cited
2003
We study how closely the optimal Bayes error rate can be approximately reached using a classification algorithm that computes a… Expand
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Highly Cited
1988
Highly Cited
1988
Abstract The International Classification of Diseases has, under various names, been for many decades the essential tool for… Expand
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