Hierarchical analog circuit reliability analysis using multivariate nonlinear regression and active learning sample selection

2011 Design, Automation & Test in Europe ◽

10.1109/date.2012.6176568 ◽

2012 ◽

Author(s):

E. Maricau ◽

Dimitri De Jonghe ◽

G. Gielen

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Nonlinear Regression ◽

Analog Circuit ◽

Sample Selection ◽

Learning Sample ◽

Circuit Reliability ◽

Multivariate Nonlinear Regression

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Performance enhancement‐based active learning sample selection method

Journal of Chemometrics ◽

10.1002/cem.3386 ◽

2022 ◽

Author(s):

Zhonghai He ◽

Shijie Song ◽

Kun Shen ◽

Xiaofang Zhang

Keyword(s):

Active Learning ◽

Performance Enhancement ◽

Sample Selection ◽

Selection Method ◽

Learning Sample

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Circuit Reliability Analysis of In-Memory Inference in Binarized Neural Networks

2020 IEEE International Integrated Reliability Workshop (IIRW) ◽

10.1109/iirw49815.2020.9312858 ◽

2020 ◽

Author(s):

Tommaso Zanotti ◽

Francesco Maria Puglisi ◽

Paolo Pavan

Keyword(s):

Neural Networks ◽

Reliability Analysis ◽

Circuit Reliability

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Reliability Analysis of Wheel fatigue strength based on active learning Kriging Model

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1043/5/052057 ◽

2021 ◽

Vol 1043 (5) ◽

pp. 052057

Author(s):

Xin Cheng ◽

Xufeng Yang

Keyword(s):

Fatigue Strength ◽

Active Learning ◽

Reliability Analysis ◽

Kriging Model ◽

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A coupled subset simulation and active learning kriging reliability analysis method for rare failure events

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-019-02326-3 ◽

2019 ◽

Vol 60 (6) ◽

pp. 2325-2341 ◽

Author(s):

Chunyan Ling ◽

Zhenzhou Lu ◽

Kaixuan Feng ◽

Xiaobo Zhang

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Analysis Method ◽

Subset Simulation

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A new active learning method based on the learning function U of the AK-MCS reliability analysis method

Engineering Structures ◽

10.1016/j.engstruct.2017.06.038 ◽

2017 ◽

Vol 148 ◽

pp. 185-194 ◽

Author(s):

Zheng Peijuan ◽

Wang Chien Ming ◽

Zong Zhouhong ◽

Wang Liqi

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Learning Method ◽

Analysis Method ◽

Learning Function ◽

Active Learning Method

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An efficient hybrid reliability analysis method based on active learning Kriging model and multimodal‐optimization‐based importance sampling

International Journal for Numerical Methods in Engineering ◽

10.1002/nme.6847 ◽

2021 ◽

Author(s):

Tai Wang ◽

Xufeng Yang ◽

Mi Caiying

Keyword(s):

Active Learning ◽

Reliability Analysis ◽

Importance Sampling ◽

Kriging Model ◽

Multimodal Optimization ◽

Analysis Method ◽

Hybrid Reliability

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Active learning for training sample selection in remote sensing image classification using spatial information

Remote Sensing Letters ◽

10.1080/2150704x.2017.1375610 ◽

2017 ◽

Vol 8 (12) ◽

pp. 1210-1219 ◽

Author(s):

Qikai Lu ◽

Yong Ma ◽

Gui-Song Xia

Keyword(s):

Remote Sensing ◽

Active Learning ◽

Image Classification ◽

Spatial Information ◽

Sample Selection ◽

Remote Sensing Image ◽

Training Sample ◽

Remote Sensing Image Classification ◽

Training Sample Selection

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A new method for sample selection in active learning

2009 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2009.5212185 ◽

2009 ◽

Author(s):

Wei Chen ◽

Gang Liu ◽

Jun Guo ◽

Yu-Jing Guo

Keyword(s):

Active Learning ◽

Sample Selection ◽

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Multivariate Nonlinear Regression

Monte Carlo Methods in Fuzzy Optimization - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-76290-4_13 ◽

2007 ◽

pp. 139-154

Author(s):

James J. Buckley ◽

Leonard J. Jowers

Keyword(s):

Nonlinear Regression ◽

Multivariate Nonlinear Regression

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Force Feedback Control of Tele-Operated Construction Robot Based on Multivariate Nonlinear Regression Model

Journal of Convergence Information Technology ◽

10.4156/jcit.vol8.issue2.73 ◽

2013 ◽

Vol 8 (2) ◽

pp. 605-612 ◽

Author(s):

Xiao Li ◽

Chao Wang ◽

HuiMing Qin ◽

Guo Tian

Keyword(s):

Feedback Control ◽

Regression Model ◽

Nonlinear Regression ◽

Force Feedback ◽

Nonlinear Regression Model ◽

Multivariate Nonlinear Regression

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