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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… 
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Apache SparkAutomated essay scoringBeta skeletonBias–variance tradeoff
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Visualizing and Understanding Convolutional Networks
Large Convolutional Network models have recently demonstrated impressive classification performance on the ImageNet benchmark… 
Highly Cited
2008
Highly Cited
2008
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
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
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
Induction of Decision Trees
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
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… 
Highly Cited
2002
Highly Cited
2002
SMOTE: Synthetic Minority Over-sampling Technique
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the… 
Review
2002
Review
2002
Machine learning in automated text categorization
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, 3rd Edition
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as… 
Review
1994
Review
1994
Machine Learning, Neural and Statistical Classification
Survey of previous comparisons and theoretical work descriptions of methods dataset descriptions criteria for comparison and… 
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… 
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