Adiabatic Quantum Feature Selection for Sparse Linear Regression

Computational Science – ICCS 2021 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-77980-1_8 ◽

2021 ◽

pp. 98-112

Author(s):

Surya Sai Teja Desu ◽

P. K. Srijith ◽

M. V. Panduranga Rao ◽

Naveen Sivadasan

Keyword(s):

Feature Selection ◽

Linear Regression ◽

Selection For ◽

Quantum Feature

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Linear regression-based feature selection for microarray data classification

International Journal of Data Mining and Bioinformatics ◽

10.1504/ijdmb.2015.066776 ◽

2015 ◽

Vol 11 (2) ◽

pp. 167 ◽

Author(s):

Md. Abid Hasan ◽

Md. Kamrul Hasan ◽

M. Abdul Mottalib

Keyword(s):

Feature Selection ◽

Linear Regression ◽

Microarray Data ◽

Data Classification ◽

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Supervised feature selection for linear and non-linear regression of L⁎a⁎b⁎ color from multispectral images of meat

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2013.09.004 ◽

2014 ◽

Vol 27 ◽

pp. 211-227 ◽

Author(s):

Sara Sharifzadeh ◽

Line H. Clemmensen ◽

Claus Borggaard ◽

Susanne Støier ◽

Bjarne K. Ersbøll

Keyword(s):

Feature Selection ◽

Linear Regression ◽

Multispectral Images ◽

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Optimal feature selection for predicting soil CEC: Comparing the hybrid of ant colony organization algorithm and adaptive network-based fuzzy system with multiple linear regression

Geoderma ◽

10.1016/j.geoderma.2017.03.010 ◽

2017 ◽

Vol 298 ◽

pp. 27-34 ◽

Author(s):

Hosein Shekofteh ◽

Fatemeh Ramazani ◽

Hossein Shirani

Keyword(s):

Feature Selection ◽

Linear Regression ◽

Multiple Linear Regression ◽

Fuzzy System ◽

Adaptive Network ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Bayesian feature selection for high-dimensional linear regression via the Ising approximation with applications to genomics

Bioinformatics ◽

10.1093/bioinformatics/btv037 ◽

2015 ◽

Vol 31 (11) ◽

pp. 1754-1761 ◽

Author(s):

Charles K. Fisher ◽

Pankaj Mehta

Keyword(s):

Feature Selection ◽

Linear Regression ◽

High Dimensional ◽

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MIP-BOOST: Efficient and Effective L 0 Feature Selection for Linear Regression

Journal of Computational and Graphical Statistics ◽

10.1080/10618600.2020.1845184 ◽

2021 ◽

pp. 1-12

Author(s):

Ana Kenney ◽

Francesca Chiaromonte ◽

Giovanni Felici

Keyword(s):

Feature Selection ◽

Linear Regression ◽

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

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Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

2019 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2019.8685636 ◽

2019 ◽

Author(s):

Fadi Salo ◽

MohammadNoor Injadat ◽

Abdallah Moubayed ◽

Ali Bou Nassif ◽

Aleksander Essex

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

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