FAQ

Statistical classification

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

Topic mentions per year

Topic mentions per year

1935-2018
0100002000019352017

Related topics

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50 relations
A Library for Support Vector MachinesAnomaly detectionApache SparkArtificial intelligence
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Broader (1)

Machine learning

Related mentions per year

Related mentions per year

1936-2019
19401960198020002020
Statistical classification
Machine learning
Precision and recall
Calibration
Sensitivity and specificity
Parsing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
3D skeleton-based human action classification: A survey
In recent years, there has been a proliferation of works on human action classification from depth sequences. These works… (More)
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Review
2016
Review
2016
The GRASP Taxonomy of Human Grasp Types
In this paper, we analyze and compare existing human grasp taxonomies and synthesize them into a single new taxonomy (dubbed… (More)
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Review
2015
Review
2015
Deep Learning
Machine-learning technology powers many aspects of modern society: from web searches to content filtering on social networks to… (More)
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Highly Cited
2009
Highly Cited
2009
Linear spatial pyramid matching using sparse coding for image classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its… (More)
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Highly Cited
2004
Highly Cited
2004
A Statistical Approach to Texture Classification from Single Images
We investigate texture classification from single images obtained under unknown viewpoint and illumination. A statistical… (More)
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Highly Cited
2001
Highly Cited
2001
Foundations of Statistical Natural Language Processing
In 1993, Eugene Charniak published a slim volume entitled Statistical Language Learning. At the time, empirical techniques to… (More)
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Highly Cited
1998
Highly Cited
1998
Adaptive Template Moderated Spatially Varying Statistical Classification
A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy from… (More)
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Highly Cited
1996
Highly Cited
1996
Assessing agreement on classification tasks: the kappa statistic
Currently, computational linguists and cognitive scientists working in the area of discourse and dialogue argue that their… (More)
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Highly Cited
1994
Highly Cited
1994
Machine Learning, Neural and Statistical Classification
Algorithms which construct classifiers from sample data -such as neural networks, radial basis functions, and decision trees… (More)
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Highly Cited
1984
Highly Cited
1984
Classification and Regression Trees
The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures… (More)
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