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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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Related topics

Related topics

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Apache SparkAutomated essay scoringBeta skeletonBias–variance tradeoff

Broader (1)

Machine learning

Papers overview

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2013
2013
Semantic contextual advertising based on the open directory project
Contextual advertising seeks to place relevant textual ads within the content of generic webpages. In this article, we explore a… 
Highly Cited
2011
Highly Cited
2011
Shallow Discourse Parsing with Conditional Random Fields
Parsing discourse is a challenging natural language processing task. In this paper we take a data driven approach to identify… 
Highly Cited
2005
Highly Cited
2005
An Automatic Face Recognition System in the Near Infrared Spectrum
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In… 
Highly Cited
2004
Highly Cited
2004
Confounded Expectations: Informedia at TRECVID 2004
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search… 
2004
2004
Spontaneous handwriting recognition and classification
Finite-state models are used to implement a handwritten text recognition and classification system for a real application… 
2003
2003
On Separability of Intuitionistic Fuzzy Sets
Issues related to the separability of two intuitionistic fuzzy sets (IFSs; see [1]) are considered. The obtained results are… 
Highly Cited
2002
Highly Cited
2002
Object Recognition by a Cascade of Edge Probes
We frame the problem of object recognition from edge cues in terms of determining whether individual edge pixels belong to the… 
Highly Cited
2000
Highly Cited
2000
Word and phone level acoustic confidence scoring
This paper presents a word level confidence scoring technique based on a combination of multiple features extracted from the… 
2000
2000
Efficient Rule-Based Attribute-Oriented Induction for Data Mining
Data mining has become an important technique which has tremendous potential in many commercial and industrial applications… 
1999
1999
A fuzzy decision tree induction method for fuzzy data
Decision tree induction is one of useful approaches for extracting classification knowledge from a set of feature-based examples…