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Information Sciences, ISSN 0020-0255, 10/2019, Volume 501, pp. 708 - 723
Hypergraph, an important learning tool to modulate high-order data correlations, has a wide range of applications in machine learning and computer vision. The... 
Hypergraph | Ridge regression | Representation coefficients | Hyperedge
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2013, Volume 14, Issue 1, pp. 567 - 599
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 01/2020, Volume 537, p. 122782
Ridge regression is a regularization method which evaluated according to the experimental results of the hybrid nanofluid containing SiO and MWCNTs suspended... 
Ridge regression | Solid volume fraction | Thermal conductivity | Temperature | Nanofluid
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2015, Volume 37, Issue 3, pp. 583 - 596
Journal Article
Renewable and Sustainable Energy Reviews, ISSN 1364-0321, 01/2016, Volume 53, pp. 1617 - 1625
The chemical industry is one of the six high energy-consuming and emission-intensive sectors in China, and the Chinese government has focused its attention on... 
Ridge regression | Translog function | Substitution elasticity
Journal Article
02/2019, 1, ISBN 9781118644614, 384
A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression... 
Statistics
eBook
Communications in Statistics: Simulation and Computation, ISSN 0361-0918, 2019, pp. 1 - 13
Journal Article
Ecology, ISSN 0012-9658, 10/2016, Volume 97, Issue 10, pp. 2554 - 2561
Journal Article
Polish Journal of Environmental Studies, ISSN 1230-1485, 2018, Volume 27, Issue 1, pp. 373 - 382
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2015, Volume 16, pp. 3299 - 3340
We study a decomposition-based scalable approach to kernel ridge regression, and show that it achieves minimax optimal convergence rates under relatively mild... 
Computation complexity | Kernel ridge regression | Divide and conquer | computation complexity | divide and conquer | BOUNDS | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | kernel ridge regression
Journal Article
2013 IEEE International Conference on Computer Vision, ISSN 1550-5499, 12/2013, pp. 1920 - 1927
Recently there have been significant advances in image up scaling or image super-resolution based on a dictionary of low and high resolution exemplars. The... 
Training | Interpolation | Dictionaries | Image resolution | PSNR | neighbor embedding | super-resolution | ridge regression | Encoding | anchored neighborhood regression | sparse coding | Signal resolution | Computer vision | State of the art | Conferences | Images | Running | Regression | Proposals | Standards
Conference Proceeding
Applied Energy, ISSN 0306-2619, 06/2013, Volume 106, pp. 65 - 71
► We employ the STIRPAT model to examine the impact factors of CO emissions in Guangdong Province. ► We employed the ridge regression to fit the extended... 
Ridge regression | Elastic coefficients | Guangdong Province | CO2 emissions | STIRPAT model | ENGINEERING, CHEMICAL | POPULATION | ENERGY & FUELS | DRIVING FORCES | Industrial development | Energy consumption | China | Carbon dioxide | Urbanization | Regression | Mathematical models | Impact analysis
Journal Article
Journal of Modern Applied Statistical Methods, ISSN 1538-9472, 2016, Volume 15, Issue 2, pp. 400 - 410
Journal Article
Renewable and Sustainable Energy Reviews, ISSN 1364-0321, 02/2016, Volume 54, pp. 1563 - 1579
Unlike previous studies, this paper empirically investigates the impact of urbanization on energy consumption and CO emissions with consideration of provincial... 
Urbanization | Energy consumption | Different provinces of China | CO2 emissions | emissions | GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY | DEVELOPMENT STRATEGY | ENERGY & FUELS | URBAN | ELECTRICITY CONSUMPTION | CLIMATE-CHANGE | CARBON-DIOXIDE EMISSIONS | RIDGE REGRESSION | TRADE OPENNESS | IMPACT | RENEWABLE ENERGY | ECONOMIC-GROWTH
Journal Article
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, ISSN 1009-5896, 10/2018, Volume 40, Issue 10, pp. 2453 - 2460
Journal Article
Journal of the Association of Arab Universities for Basic and Applied Sciences, ISSN 1815-3852, 04/2014, Volume 15, Issue 1, pp. 94 - 99
introduced the ridge regression estimator as an alternative to the ordinary least squares (OLS) estimator in the presence of multicollinearity. In ridge... 
Ridge regression | Multicollinearity | Ridge parameter
Journal Article
Information Sciences, ISSN 0020-0255, 11/2016, Volume 367-368, pp. 1094 - 1105
With randomly generated weights between input and hidden layers, a random vector functional link network is a universal approximator for continuous functions... 
Ridge regression | Data classification | Random vector functional link networks | Moore–Penrose pseudoinverse | NEURAL-NETWORKS | Moore-Penrose pseudoinverse | APPROXIMATION | COMPUTER SCIENCE, INFORMATION SYSTEMS | CLASSIFICATION | NET | Networks | Randomization | Mathematical analysis | Bias | Links | Activation | Vectors (mathematics) | Activation analysis
Journal Article
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