kernel ridge regression Latest Research Papers

A Dynamic Multi-objective Evolutionary Algorithm Assisted by Kernel Ridge Regression

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-3-030-89698-0_14 ◽

2022 ◽

pp. 128-136

Author(s):

Min Liu ◽

Diankun Chen ◽

Qiongbing Zhang ◽

Yizhi Liu ◽

Yijiang Zhao

Keyword(s):

Evolutionary Algorithm ◽

Ridge Regression ◽

Kernel Ridge Regression ◽

Multi Objective

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.108018 ◽

2021 ◽

Vol 216 ◽

pp. 108018

Author(s):

Xin Li ◽

Xiang Zhong ◽

Haidong Shao ◽

Te Han ◽

Changqing Shen

Keyword(s):

Fault Diagnosis ◽

Covariance Matrix ◽

Ridge Regression ◽

Feature Fusion ◽

Kernel Ridge Regression

An intuitionistic fuzzy kernel ridge regression classifier for binary classification

Applied Soft Computing ◽

10.1016/j.asoc.2021.107816 ◽

2021 ◽

Vol 112 ◽

pp. 107816 ◽

Cited By ~ 1

Author(s):

Barenya Bikash Hazarika ◽

Deepak Gupta ◽

Parashjyoti Borah

Keyword(s):

Ridge Regression ◽

Binary Classification ◽

Kernel Ridge Regression ◽

Intuitionistic Fuzzy

Model Selection of Kernel Ridge Regression for Extrapolation

10.1109/mlsp52302.2021.9596089 ◽

2021 ◽

Author(s):

Akira Tanaka ◽

Masanari Nakamura ◽

Hideyuki Imai

Keyword(s):

Model Selection ◽

Ridge Regression ◽

Kernel Ridge Regression ◽

Selection Of

Increasing Efficiency of Nonadiabatic Molecular Dynamics by Hamiltonian Interpolation with Kernel Ridge Regression

The Journal of Physical Chemistry A ◽

10.1021/acs.jpca.1c05105 ◽

2021 ◽

Author(s):

Yifan Wu ◽

Natalie Prezhdo ◽

Weibin Chu

Keyword(s):

Molecular Dynamics ◽

Ridge Regression ◽

Kernel Ridge Regression ◽

Nonadiabatic Molecular Dynamics

Communication-avoiding kernel ridge regression on parallel and distributed systems

CCF Transactions on High Performance Computing ◽

10.1007/s42514-021-00078-5 ◽

2021 ◽

Author(s):

Yang You ◽

Jingyue Huang ◽

Cho-Jui Hsieh ◽

Richard Vuduc ◽

James Demmel

Keyword(s):

Distributed Systems ◽

Ridge Regression ◽

Kernel Ridge Regression

An efficient edge preserving universal noise removal algorithm using kernel ridge regression

Multimedia Tools and Applications ◽

10.1007/s11042-021-11274-4 ◽

2021 ◽

Author(s):

Shadab Khan ◽

Yash Veer Singh ◽

Arun Kumar Rai

Keyword(s):

Ridge Regression ◽

Noise Removal ◽

Edge Preserving ◽

Kernel Ridge Regression

Well logging curve reconstruction based on kernel ridge regression

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07792-y ◽

2021 ◽

Vol 14 (16) ◽

Author(s):

Pengpeng Fan ◽

Rui Deng ◽

Jinquan Qiu ◽

Zhongliang Zhao ◽

Shengli Wu

Keyword(s):

Ridge Regression ◽

Well Logging ◽

Curve Reconstruction ◽

Kernel Ridge Regression

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Powder Technology ◽

10.1016/j.powtec.2021.07.037 ◽

2021 ◽

Author(s):

Amin Shahsavar ◽

Mehdi Jamei ◽

Masoud Karbasi

Keyword(s):

Magnetic Field ◽

Sensitivity Analysis ◽

External Magnetic Field ◽

Rheological Behavior ◽

Predictive Models ◽

Ridge Regression ◽

Experimental Evaluation ◽

Kernel Ridge Regression ◽

Grid Optimization

Study on an Artificial Intelligence Based Kernel Ridge Regression Algorithm for Wafer Level Package Reliability Prediction

2021 IEEE 71st Electronic Components and Technology Conference (ECTC) ◽

10.1109/ectc32696.2021.00229 ◽

2021 ◽

Author(s):

Sunil Kumar Panigrahy ◽

Kuo-Ning Chiang

Keyword(s):

Artificial Intelligence ◽

Ridge Regression ◽

Reliability Prediction ◽

Wafer Level ◽

Kernel Ridge Regression ◽

Wafer Level Package ◽

Package Reliability

kernel ridge regression
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Dynamic Multi-objective Evolutionary Algorithm Assisted by Kernel Ridge Regression

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression

An intuitionistic fuzzy kernel ridge regression classifier for binary classification

Model Selection of Kernel Ridge Regression for Extrapolation

Increasing Efficiency of Nonadiabatic Molecular Dynamics by Hamiltonian Interpolation with Kernel Ridge Regression

Communication-avoiding kernel ridge regression on parallel and distributed systems

An efficient edge preserving universal noise removal algorithm using kernel ridge regression

Well logging curve reconstruction based on kernel ridge regression

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Study on an Artificial Intelligence Based Kernel Ridge Regression Algorithm for Wafer Level Package Reliability Prediction

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kernel ridge regressionRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A Dynamic Multi-objective Evolutionary Algorithm Assisted by Kernel Ridge Regression

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression

An intuitionistic fuzzy kernel ridge regression classifier for binary classification

Model Selection of Kernel Ridge Regression for Extrapolation

Increasing Efficiency of Nonadiabatic Molecular Dynamics by Hamiltonian Interpolation with Kernel Ridge Regression

Communication-avoiding kernel ridge regression on parallel and distributed systems

An efficient edge preserving universal noise removal algorithm using kernel ridge regression

Well logging curve reconstruction based on kernel ridge regression

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

Study on an Artificial Intelligence Based Kernel Ridge Regression Algorithm for Wafer Level Package Reliability Prediction

kernel ridge regression
Recently Published Documents