P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InProceedings{Zhang:2024:PPSN,

• author = "Hengzhe Zhang and Qi Chen and Bing Xue and Mengjie Zhang and Wolfgang Banzhaf",
• title = "P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization",
• booktitle = "18th International Conference on Parallel Problem Solving from Nature",
• year = "2024",
• editor = "Heike Trautmann and Tea Tusar and Penousal Machado and Thomas Baeck",
• volume = "15148",
• series = "Lecture Notes in Computer Science",
• pages = "201--220",
• address = "University of Applied Sciences Upper Austria, Hagenberg, Austria",
• month = "13-18 " # sep,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Evolutionary Machine Learning, Symbolic Regression, Feature Construction, Vicinal Risk Minimization",
• isbn13 = "978-3-031-70054-5",
• URL = "https://rdcu.be/d5m7G",
• DOI = "doi:10.1007/978-3-031-70055-2_13",
• size = "20 pages",
• notes = "https://ppsn2024.fh-ooe.at/program/",

}

Genetic Programming entries for Hengzhe Zhang Qi Chen Bing Xue Mengjie Zhang Wolfgang Banzhaf

Citations