Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Large Convolutional Network models have recently demonstrated impressive classification performance on the ImageNet benchmark… 
Highly Cited
2008
Highly Cited
2008
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth… 
Highly Cited
2004
Highly Cited
2004
Bagging predictors is a method for generating multiple versions of a predictor and using these to get an aggregated predictor… 
Highly Cited
2004
Highly Cited
2004
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
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… 
Highly Cited
2002
Highly Cited
2002
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the… 
Review
2002
Review
2002
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last… 
Highly Cited
1999
Highly Cited
1999
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… 
Review
1994
Review
1994
Survey of previous comparisons and theoretical work descriptions of methods dataset descriptions criteria for comparison and… 
Highly Cited
1988
Highly Cited
1988
Abstract The International Classification of Diseases has, under various names, been for many decades the essential tool for…