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Semi-Supervised Learning of Classifiers from a Statistical Perspective:
  A Brief Review

Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review

8 April 2021
Daniel Ahfock
Geoffrey J. McLachlan
ArXivPDFHTML

Papers citing "Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review"

2 / 2 papers shown
Title
Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a
  Specified Missing-Data Mechanism
Analysis of Estimating the Bayes Rule for Gaussian Mixture Models with a Specified Missing-Data Mechanism
Ziyang Lyu
8
0
0
25 Oct 2022
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji
Padhraic Smyth
M. Steyvers
41
45
0
19 Oct 2020
1