Skip to search formSkip to main contentSkip to account menu

Feature selection

Known as: Feature selection problem, Input selection, Feature subset selection 
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the… 
Wikipedia (opens in a new tab)

Related topics

Related topics

50 relations
Ant colony optimization algorithmsAugmented Lagrangian methodAutoencoderBayesian information criterion

Broader (1)

Model selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Combining modality-specific extreme learning machines for emotion recognition in the wild
This paper proposes extreme learning machines (ELM) for modeling audio and video features for emotion recognition under… 
2010
2010
Quantitative structure-activity relationships of antioxidant phenolic compounds.
In the present work, we carried out a quantitative structure-activity relationship (QSAR) study, using 15 phenolic compounds with… 
2009
2009
TEXT EXTRACTION FROM STREET LEVEL IMAGES
We offer in this article, a method for text extraction in images issued from city scenes. This method is used in the French… 
2007
2007
Ellipsoidal Kernel Machines
A novel technique is proposed for improving the standard Vapnik-Chervonenkis (VC) dimension estimate for the Support Vector… 
2006
2006
Wahrscheinlichkeitstheorie Cluster analysis applied to regional geochemical data : Problems and possibilities
A large regional geochemical data set of O-horizon samples from a 188,000 km2 area in the European Arctic, analysed for 38… 
Highly Cited
1999
Highly Cited
1999
A New Efficient Approach for Variable Selection Based on Multiregression: Prediction of Gas Chromatographic Retention Times and Response Factors
The selection of the most relevant variable is a frequent problem in the analysis of chemical data, especially now considering… 
Highly Cited
1999
Highly Cited
1999
Development and Validation of a Novel Variable Selection Technique with Application to Multidimensional Quantitative Structure-Activity Relationship Studies
Variable selection is typically a time-consuming and ambiguous procedure in performing quantitative structure−activity… 
1997
1997
Japanese Dependency Structure Analysis based on Lexicalized Statistics
\Ve JH't'::wnt statistical rnodels of Japanese dependency analysis aud report results of some experiments to in vestigate the… 
Highly Cited
1989
Highly Cited
1989
Recognizing Hand-Printed Letters and Digits
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation… 
Highly Cited
1969
Highly Cited
1969
Nonparametric feature selection
Two groups of L -dimensional observations of size N_{1} and N_{2} are known to be random vector variables from two unknown… 
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)