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Pool-Based Sequential Active Learning for Regression

Pool-Based Sequential Active Learning for Regression

12 May 2018
Dongrui Wu
ArXivPDFHTML

Papers citing "Pool-Based Sequential Active Learning for Regression"

6 / 6 papers shown
Title
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
Tao Bai
Junzhuo Zhou
Zeyuan Deng
Ting-Jung Lin
Wei Xing
Peng Cao
Lei He
14
0
0
16 May 2025
Efficient Biological Data Acquisition through Inference Set Design
Efficient Biological Data Acquisition through Inference Set Design
Ihor Neporozhnii
Julien Roy
Emmanuel Bengio
Jason Hartford
69
1
0
25 Oct 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
102
6
0
02 Aug 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression
A Framework and Benchmark for Deep Batch Active Learning for Regression
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
73
35
0
17 Mar 2022
Feature Dimensionality Reduction for Video Affect Classification: A
  Comparative Study
Feature Dimensionality Reduction for Video Affect Classification: A Comparative Study
Chenfeng Guo
Dongrui Wu
28
4
0
08 Aug 2018
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode
  Active Learning (EBMAL) for Regression
Offline EEG-Based Driver Drowsiness Estimation Using Enhanced Batch-Mode Active Learning (EBMAL) for Regression
Dongrui Wu
Vernon J. Lawhern
Stephen M. Gordon
Brent Lance
Chin-Teng Lin
OffRL
32
34
0
12 May 2018
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