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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Finding an appropriate and accurate technology for early detection of disease is significantly important to research early… 
2006
2006
This paper is an empirical study on the performance of different discriminative approaches to reranking the N-best hypotheses… 
Highly Cited
2005
Highly Cited
2005
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In… 
Highly Cited
2004
Highly Cited
2004
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search… 
2004
2004
Finite-state models are used to implement a handwritten text recognition and classification system for a real application… 
1999
1999
Decision tree induction is one of useful approaches for extracting classification knowledge from a set of feature-based examples… 
1998
1998
The hydrogeomorphic (HGM) approach to assessing the functioning of wetlands has been undergoing development for the past 6 years… 
1993
1993
Nonparametric kernel classification rules derived from incomplete (missing) data are studied. A number of techniques of handling… 
1990