ScienceGate
Advanced Search
Author Search
Journal Finder
Blog
Sign in / Sign up
ScienceGate
Search
Author Search
Journal Finder
Blog
Sign in / Sign up
Simultaneous Feature and Model Selection for High-Dimensional Data
2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
◽
10.1109/ictai.2011.16
◽
2011
◽
Author(s):
Alessandro Perolini
◽
Sebastien Guerif
Keyword(s):
Model Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
Download Full-text
Related Documents
Cited By
References
Model selection for high-dimensional data
2016 50th Asilomar Conference on Signals, Systems and Computers
◽
10.1109/acssc.2016.7869114
◽
2016
◽
Cited By ~ 2
Author(s):
Arash Owrang
◽
Magnus Jansson
Keyword(s):
Model Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
Download Full-text
Bayesian model selection for high-dimensional data
Handbook of Statistics - Principles and Methods for Data Science
◽
10.1016/bs.host.2019.08.001
◽
2020
◽
pp. 207-248
Author(s):
Naveen Naidu Narisetty
Keyword(s):
Model Selection
◽
Bayesian Model
◽
High Dimensional Data
◽
Bayesian Model Selection
◽
High Dimensional
◽
Selection For
Download Full-text
Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
◽
10.2991/iccsee.2013.583
◽
2013
◽
Author(s):
Lincheng Jiang
◽
Wentang Tan
◽
Zhenwen Wang
◽
Fengjing Yin
◽
Bin Ge
◽
...
Keyword(s):
Feature Selection
◽
Data Analysis
◽
Matrix Factorization
◽
Nonnegative Matrix Factorization
◽
High Dimensional Data
◽
Nonnegative Matrix
◽
High Dimensional
◽
High Dimensional Data Analysis
◽
Selection For
Download Full-text
Variable Selection for Correlated High-Dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology
Intelligent Decision Technologies - Smart Innovation, Systems and Technologies
◽
10.1007/978-981-16-2765-1_9
◽
2021
◽
pp. 109-125
Author(s):
Yuhei Kotsuka
◽
Sumika Arima
Keyword(s):
Variable Selection
◽
Anomaly Detection
◽
High Dimensional Data
◽
Categorical Variables
◽
High Dimensional
◽
Detection Technology
◽
Selection For
Download Full-text
Dynamic Feature Selection for Clustering High Dimensional Data Streams
IEEE Access
◽
10.1109/access.2019.2932308
◽
2019
◽
Vol 7
◽
pp. 127128-127140
◽
Cited By ~ 4
Author(s):
Conor Fahy
◽
Shengxiang Yang
Keyword(s):
Feature Selection
◽
Data Streams
◽
High Dimensional Data
◽
High Dimensional
◽
Dynamic Feature
◽
Selection For
Download Full-text
Feature Selection for High-Dimensional Data — A Pearson Redundancy Based Filter
Advances in Soft Computing - Computer Recognition Systems 2
◽
10.1007/978-3-540-75175-5_30
◽
2007
◽
pp. 242-249
◽
Cited By ~ 44
Author(s):
Jacek Biesiada
◽
Wlodzisław Duch
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
Download Full-text
Model Selection for High-Dimensional Problems
Handbook of Financial Econometrics and Statistics
◽
10.1007/978-1-4614-7750-1_77
◽
2014
◽
pp. 2093-2118
Author(s):
Jing-Zhi Huang
◽
Zhan Shi
◽
Wei Zhong
Keyword(s):
Model Selection
◽
High Dimensional
◽
Selection For
Download Full-text
Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm
IEEE Access
◽
10.1109/access.2020.3012768
◽
2020
◽
Vol 8
◽
pp. 139512-139528
Author(s):
Shuangjie Li
◽
Kaixiang Zhang
◽
Qianru Chen
◽
Shuqin Wang
◽
Shaoqiang Zhang
Keyword(s):
Genetic Algorithm
◽
Feature Selection
◽
High Dimensional Data
◽
Nearest Neighbors
◽
High Dimensional
◽
K Nearest Neighbors
◽
Selection For
Download Full-text
Model Selection for High-Dimensional Quadratic Regression via Regularization
Journal of the American Statistical Association
◽
10.1080/01621459.2016.1264956
◽
2018
◽
Vol 113
(522)
◽
pp. 615-625
◽
Cited By ~ 11
Author(s):
Ning Hao
◽
Yang Feng
◽
Hao Helen Zhang
Keyword(s):
Model Selection
◽
High Dimensional
◽
Quadratic Regression
◽
Selection For
Download Full-text
A stepwise regression method and consistent model selection for high-dimensional sparse linear models
Statistica Sinica
◽
10.5705/ss.2010.081
◽
2011
◽
Vol 21
(4)
◽
Cited By ~ 35
Author(s):
Ching-Kang Ing
◽
Tze Leung Lai
Keyword(s):
Model Selection
◽
Stepwise Regression
◽
Linear Models
◽
Regression Method
◽
High Dimensional
◽
Consistent Model
◽
Selection For
Download Full-text
Sign in / Sign up
Close
Export Citation Format
Close
Share Document
Close