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Learning to Benchmark: Determining Best Achievable Misclassification
  Error from Training Data

Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data

16 September 2019
M. Noshad
L. Xu
Alfred Hero
ArXiv (abs)PDFHTML

Papers citing "Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data"

3 / 3 papers shown
Title
Bayes Error Rate Estimation in Difficult Situations
Bayes Error Rate Estimation in Difficult Situations
Lesley Wheat
Martin v. Mohrenschildt
Saeid Habibi
18
0
0
21 May 2025
Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida
Ikko Yamane
Nontawat Charoenphakdee
Gang Niu
Masashi Sugiyama
BDLUQCV
69
18
0
01 Feb 2022
Evaluating State-of-the-Art Classification Models Against Bayes
  Optimality
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen
Huan Wang
Lav Varshney
Caiming Xiong
R. Socher
54
12
0
07 Jun 2021
1