- author = "Lee Spector and Li Ding and Ryan Boldi",
- title = "Particularity",
- booktitle = "Genetic Programming Theory and Practice XX",
- year = "2023",
- editor = "Stephan Winkler and Leonardo Trujillo and Charles Ofria and Ting Hu",
- series = "Genetic and Evolutionary Computation",
- pages = "159--176",
- address = "Michigan State University, USA",
- month = jun # " 1-3",
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, Lexicase selection, Deep learning, ANN",
- isbn13 = "978-981-99-8412-1",
-
URL = "
https://arxiv.org/abs/2306.06812",
-
DOI = "
10.1007/978-981-99-8413-8_9",
- abstract = "We describe a design principle for adaptive systems under which adaptation is driven by particular challenges that the environment poses, as opposed to average or otherwise aggregated measures of performance over many challenges. We trace the development of this particularity approach from the use of lexicase selection in genetic programming to particularist approaches to other forms of machine learning and to the design of adaptive systems more generally.",
-
notes = "
Part of \cite{Hu:2023:GPTP} published after the workshop in 2024
Bias-variance tradeoff",
