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June 20, 2026Political AnalysisOpen Access

Selecting More Informative Training Sets with Fewer Observations – CORRIGENDUM

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Authors

AKAaron Kaufman

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Overview

Correction discusses methods for enhancing training set efficiency in machine learning, impacting data utilization.

Key Points

  • The aim is to improve the selection process of training sets in machine learning while using fewer observations.
  • Revision of data selection techniques
  • Enhancing data efficiency
  • Application of information theory
  • Improved training set selection methodology
  • Demonstrated potential reduction in required observations
  • Enhanced model performance efficiency

Cite This Study

Aaron Kaufman (2026) studied this question.

synapsesocial.com/papers/6a3631a1db0793dc1a53867chttps://doi.org/10.1017/pan.2026.10051
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