@inproceedings{3412b2ceb07f4aa4963739848ae26d57,
title = "Making Robust Classification Decisions: Constructing and Evaluating Fast and Frugal Trees (FFTs)",
abstract = "Fast and Frugal Trees (FFTs) are a quintessential family of simple heuristics that allow effective and efficient binary classification decisions and often perform remarkably well when compared to more complex methods. This half-day tutorial will familiarize participants with examples of FFTs and elucidate the theoretical link between FFTs and signal detection theory (SDT). A range of presentations, practical exercises and interactive tools will enable participants to construct and evaluate FFTs for different data sets.",
keywords = "Fast and frugal trees, binary classifications, robustness, signal detection theory, simple heuristics, validity",
author = "Hansj{\"o}rg Neth and Uwe Czienskowski and Schooler, {Lael J.} and Kevin Gluck",
note = "Publisher Copyright: {\textcopyright} CogSci 2013.All rights reserved.; 35th Annual Meeting of the Cognitive Science Society - Cooperative Minds: Social Interaction and Group Dynamics, CogSci 2013 ; Conference date: 31-07-2013 Through 03-08-2013",
year = "2013",
language = "English (US)",
series = "Cooperative Minds: Social Interaction and Group Dynamics - Proceedings of the 35th Annual Meeting of the Cognitive Science Society, CogSci 2013",
publisher = "The Cognitive Science Society",
pages = "43--44",
editor = "Markus Knauff and Natalie Sebanz and Michael Pauen and Ipke Wachsmuth",
booktitle = "Cooperative Minds",
}