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Feature selection
Known as:
Feature selection problem
, Input selection
, Feature subset selection
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In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the…
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Related topics
Related topics
50 relations
Ant colony optimization algorithms
Augmented Lagrangian method
Autoencoder
Bayesian information criterion
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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
Heysem Kaya
,
A. A. Salah
Journal on Multimodal User Interfaces
2014
Corpus ID: 7988140
This paper proposes extreme learning machines (ELM) for modeling audio and video features for emotion recognition under…
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2009
2009
TEXT EXTRACTION FROM STREET LEVEL IMAGES
Jonathan Fabrizio
,
M. Cord
,
B. Marcotegui
2009
Corpus ID: 17329781
We offer in this article, a method for text extraction in images issued from city scenes. This method is used in the French…
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2007
2007
Off-line Omni-style Handwriting Arabic Character Recognition System Based on Wavelet Compression
A. Aburas
,
M. Salem
,
P. Genoni
2007
Corpus ID: 19021100
The device has a winding drum with thread guide and a rotatable disc having pins for successively moving yarn coils from the drum…
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2007
2007
Ellipsoidal Kernel Machines
Pannagadatta K. Shivaswamy
2007
Corpus ID: 16895625
A novel technique is proposed for improving the standard Vapnik-Chervonenkis (VC) dimension estimate for the Support Vector…
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2006
2006
Wahrscheinlichkeitstheorie Cluster analysis applied to regional geochemical data : Problems and possibilities
M. Templ
,
P. Filzmoser
,
C. Reimann
2006
Corpus ID: 14624672
A large regional geochemical data set of O-horizon samples from a 188,000 km2 area in the European Arctic, analysed for 38…
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Highly Cited
2003
Highly Cited
2003
OFFSS: optimal fuzzy-valued feature subset selection
Eric C. C. Tsang
,
D. Yeung
,
Xizhao Wang
IEEE transactions on fuzzy systems
2003
Corpus ID: 12742436
Feature subset selection is a well-known pattern recognition problem, which aims to reduce the number of features used in…
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2002
2002
Using Genetic Algorithm Based Variable Selection to Improve Neural Network Models for Real-World Systems
D. Sofge
International Conference on Machine Learning and…
2002
Corpus ID: 9306741
Real-world systems are often modeled by sampling sensor data taken during system operation. System states may not be all known or…
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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
Bono Lui
,
N. Trinajstic
,
S. Sild
,
M. Karelson
,
A. Katritzky
Journal of chemical information and computer…
1999
Corpus ID: 15112640
The selection of the most relevant variable is a frequent problem in the analysis of chemical data, especially now considering…
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1997
1997
Japanese Dependency Structure Analysis based on Lexicalized Statistics
Masakazu Fujio
,
Yuji Matsumoto
Conference on Empirical Methods in Natural…
1997
Corpus ID: 8990469
\Ve JH't'::wnt statistical rnodels of Japanese dependency analysis aud report results of some experiments to in vestigate the…
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Highly Cited
1989
Highly Cited
1989
Recognizing Hand-Printed Letters and Digits
Gale Martin
,
J. A. Pittman
Neural Information Processing Systems
1989
Corpus ID: 1651768
We are developing a hand-printed character recognition system using a multi-layered neural net trained through backpropagation…
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