Open AccessAn evolutionarily-inspired method to assess the relative importance of features in a complex parameter space.
Author(s) -
Tamara Watson,
Josh Brunker,
Raghba Latifi,
Matthew L. Patten
Publication year - 2020
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/jov.20.11.496
Subject(s) - stimulus (psychology) , bootstrapping (finance) , artificial intelligence , luminance , selection (genetic algorithm) , parameter space , set (abstract data type) , paired comparison , pattern recognition (psychology) , mathematics , computer science , cognitive psychology , psychology , statistics , econometrics , programming language