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NR_SMOCU_SGD_GPC
NR_SMOCU_SGD_GPC Publicopen source code for the paper "Efficient Active Learning for Gaussian Process Classification by Error Reduction"
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Repositories
- HashUQ Public
Official implementation of TMLR paper “Hashing with Uncertainty Quantification via Sampling-based Hypothesis Testing”
QianLab/HashUQ’s past year of commit activity - iMFBO Public
This is the repository for the implementation of the paper Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity
QianLab/iMFBO’s past year of commit activity - LBD Public
QianLab/LBD’s past year of commit activity - NR_SMOCU_SGD_GPC Public
open source code for the paper "Efficient Active Learning for Gaussian Process Classification by Error Reduction"
QianLab/NR_SMOCU_SGD_GPC’s past year of commit activity - ICPE-639 Public
This is an introductory course discussing machine learning fundamentals and methods commonly seen in data science with potential applications in energy and power systems. Machine learning methods to be discussed include basic supervised and unsupervised learning methods, performance evaluation, neural networks and other advanced predictive model…
QianLab/ICPE-639’s past year of commit activity - QianLab.github.io Public
QianLab/QianLab.github.io’s past year of commit activity - WMOCU_AL Public
QianLab/WMOCU_AL’s past year of commit activity - Soft_MOCU Public
The code for the paper Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
QianLab/Soft_MOCU’s past year of commit activity - SDE-MOCU Public
QianLab/SDE-MOCU’s past year of commit activity
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