Layered TPOT: Speeding up Tree-based Pipeline Optimization
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{DBLP:conf/pkdd/GijsbersVO17,
-
author = "Pieter Gijsbers and Joaquin Vanschoren and
Randal S. Olson",
-
title = "Layered {TPOT:} Speeding up Tree-based Pipeline
Optimization",
-
booktitle = "Proceedings of the International Workshop on Automatic
Selection, Configuration and Composition of Machine
Learning Algorithms",
-
year = "2017",
-
editor = "Pavel Brazdil and Joaquin Vanschoren and
Frank Hutter and Holger H. Hoos",
-
volume = "1998",
-
series = "CEUR Workshop Proceedings",
-
pages = "49--68",
-
address = "Skopje, Macedonia",
-
month = sep # " 22",
-
publisher = "CEUR-WS.org",
-
note = "co-located with the European Conference on Machine
Learning {\&} Principles and Practice of Knowledge
Discovery in Databases, AutoML@PKDD/ECML 2017",
-
keywords = "genetic algorithms, genetic programming, TPOT",
-
URL = "http://ceur-ws.org/Vol-1998/paper_06.pdf",
-
timestamp = "Wed, 12 Feb 2020 16:44:28 +0100",
-
biburl = "https://dblp.org/rec/conf/pkdd/GijsbersVO17.bib",
-
bibsource = "dblp computer science bibliography, https://dblp.org",
-
size = "20 pages",
-
abstract = "With the demand for machine learning increasing, so
does the demand for tools which make it easier to use.
Automated machine learning (AutoML) tools have been
developed to address this need, such as the Tree-Based
Pipeline Optimization Tool (TPOT) which uses genetic
programming to build optimal pipelines. We introduce
Layered TPOT, a modification to TPOT which aims to
create pipelines equally good as the original, but in
significantly less time. This approach evaluates
candidate pipelines on increasingly large subsets of
the data according to their fitness, using a modified
evolutionary algorithm to allow for separate
competition between pipelines trained on different
sample sizes.Empirical evaluation shows that, on
sufficiently large datasets, Layered TPOT indeed finds
better models faster",
-
notes = "LTPOP See also
\cite{DBLP:journals/corr/abs-1801-06007}",
- }
Genetic Programming entries for
Pieter Gijsbers
Joaquin Vanschoren
Randal S Olson
Citations