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 (opens in a new tab)

Related topics

Related topics

49 relations
Apache SparkAutomated essay scoringBeta skeletonBias–variance tradeoff

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
An Introduction to Statistical Learning: with Applications in R
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential… 
Highly Cited
2007
Highly Cited
2007
Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models
In this paper we compare three frameworks for discriminative training of continuous-density hidden Markov models (CD-HMMs… 
Highly Cited
2006
Highly Cited
2006
The Single Frame Stereo Vision System for Reliable Obstacle Detection Used during the 2005 DARPA Grand Challenge on TerraMax
Autonomous driving in off-road environments requires an exceptionally capable sensor system, especially given that the… 
Highly Cited
2005
Highly Cited
2005
Statistical modeling and conceptualization of natural images
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
2003
Highly Cited
2003
knowCube for MCDM – Visual and Interactive Support for Multicriteria Decision Making
In this paper, we present a novel multicriteria decision support system (MCDSS), called knowCube, consisting of components for… 
Highly Cited
2003
Highly Cited
2003
Bootstrapped Learning of Semantic Classes from Positive and Negative Examples
We present an algorithm for unsupervised learning and semantic classiflcation of names and terms. Given a small number of seed… 
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… 
Highly Cited
2000
Highly Cited
2000
Sound analysis using MPEG compressed audio
There is a huge amount of audio data available that is compressed using the MPEG audio compression standard. Sound analysis is… 
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)