Open AccessCombining Experimental and Theoretical Evidence to Understand Predator Learning Behaviour with Unfamiliar Prey
Author(s) -
Lauren Efford
Publication year - 2019
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2019-13809
Subject(s) - predation , predator , selection (genetic algorithm) , prior probability , bayesian inference , artificial intelligence , bayesian probability , sampling (signal processing) , variance (accounting) , machine learning , ecology , computer science , psychology , biology , economics , filter (signal processing) , computer vision , accounting