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Software Project Estimation Using Smooth Curve Methods and Variable Selection and Regularization Methods as an Alternative to Linear Regression Models when the Reference Database Presents a Wedge-shape Form.

Francisco Valdés-SoutoLizbeth Naranjo-Albarrán
Published in: Program. Comput. Softw. (2022)
Keyphrases
  • variable selection
  • regularization methods
  • cross validation
  • linear models
  • software projects
  • data sets
  • regularization parameter
  • machine learning
  • feature extraction
  • high dimensional
  • total variation