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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
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Related topics

Related topics

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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
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
A survey on ECG analysis
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
A Comparative Survey of Optical Wireless Technologies: Architectures and Applications
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
A survey of intrusion detection systems based on ensemble and hybrid classifiers
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
A Survey on Fault Management in Software-Defined Networks
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
Applications of machine learning in animal behaviour studies
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: With Applications in R
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
Quantum machine learning
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
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… Expand
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Highly Cited
1988
Highly Cited
1988
International statistical classification of diseases and related health problems. Tenth revision.
Abstract The International Classification of Diseases has, under various names, been for many decades the essential tool for… Expand
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