Estimating Predictive Variances with Kernel Ridge Regression

Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment - Lecture Notes in Computer Science ◽

10.1007/11736790_5 ◽

2006 ◽

pp. 56-77 ◽

Cited By ~ 6

Author(s):

Gavin C. Cawley ◽

Nicola L. C. Talbot ◽

Olivier Chapelle

Keyword(s):

Ridge Regression ◽

Kernel Ridge Regression

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Review for "Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression"

10.1002/2050-7038.12364/v2/review1 ◽

2020 ◽

Author(s):

Muhammad Adil

Keyword(s):

Power Quality ◽

Ridge Regression ◽

Variational Mode Decomposition ◽

Kernel Ridge Regression ◽

Mode Decomposition ◽

Power Quality Disturbance

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Review for "Islanding and power quality disturbance monitoring in microgrid using adaptive cross variational mode decomposition and reduced kernel ridge regression"

10.1002/2050-7038.12364/v1/review2 ◽

2019 ◽

Keyword(s):

Power Quality ◽

Ridge Regression ◽

Variational Mode Decomposition ◽

Kernel Ridge Regression ◽

Mode Decomposition ◽

Power Quality Disturbance

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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

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Kernel Ridge Regression with Constraint of Helmholtz Equation for Sound Field Interpolation

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC) ◽

10.1109/iwaenc.2018.8521334 ◽

2018 ◽

Cited By ~ 5

Author(s):

Natsuki Ueno ◽

Shoichi Koyama ◽

Hiroshi Saruwatari

Keyword(s):

Helmholtz Equation ◽

Ridge Regression ◽

Sound Field ◽

Kernel Ridge Regression

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An effective battery management scheme for wind energy systems using multi Kernel Ridge regression algorithm

Journal of Energy Storage ◽

10.1016/j.est.2018.12.013 ◽

2019 ◽

Vol 21 ◽

pp. 418-434 ◽

Cited By ~ 7

Author(s):

S.P. Mishra ◽

Snehamoy Dhar ◽

P.K. Dash

Keyword(s):

Wind Energy ◽

Ridge Regression ◽

Energy Systems ◽

Battery Management ◽

Kernel Ridge Regression ◽

Management Scheme ◽

Wind Energy Systems

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Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053349 ◽

2020 ◽

Author(s):

Khalil Elkhalil ◽

Abla Kammoun ◽

Xiangliang Zhang ◽

Mohamed-Slim Alouini ◽

Tareq Y. Al-Naffouri

Keyword(s):

Ridge Regression ◽

Kernel Ridge Regression

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Modelling Issues in Kernel Ridge Regression

SSRN Electronic Journal ◽

10.2139/ssrn.1935861 ◽

2011 ◽

Cited By ~ 3

Author(s):

Peter Exterkate

Keyword(s):

Ridge Regression ◽

Kernel Ridge Regression

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A Scale Adaptive Tracking Algorithm Based on Kernel Ridge Regression and Fast Fourier Transform

Lecture Notes in Computer Science - Image and Graphics ◽

10.1007/978-3-319-21978-3_38 ◽

2015 ◽

pp. 434-446

Author(s):

Lang Zhang ◽

Zhiqiang Hou ◽

Wangsheng Yu ◽

Wanjun Xu

Keyword(s):

Fourier Transform ◽

Fast Fourier Transform ◽

Ridge Regression ◽

Tracking Algorithm ◽

Kernel Ridge Regression ◽

Adaptive Tracking

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Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge regression

Frontiers of Information Technology & Electronic Engineering ◽

10.1631/fitee.2000093 ◽

2021 ◽

Author(s):

Yanfen Le ◽

Hena Zhang ◽

Weibin Shi ◽

Heng Yao

Keyword(s):

Ridge Regression ◽

Signal Strength ◽

Indoor Positioning ◽

Received Signal Strength ◽

Kernel Ridge Regression ◽

Strength Based ◽

Positioning Algorithm

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Statistical Downscaling Modeling with Kernel Ridge Regression for Rainfall Prediction in West Java

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.10.10.2020.p10638 ◽

2020 ◽

Vol 10 (10) ◽

pp. 266-272

Author(s):

Muhammad Ihwal ◽

Aji H. Wigena ◽

Anik Djuraidah

Keyword(s):

Statistical Downscaling ◽

Ridge Regression ◽

West Java ◽

Kernel Ridge Regression ◽

Rainfall Prediction

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