Evolving Workflow Graphs Using Typed Genetic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10317482" target="_blank" >RIV/00216208:11320/15:10317482 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/15:00455775
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7376776" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7376776</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2015.200" target="_blank" >10.1109/SSCI.2015.200</a>
Alternative languages
Result language
angličtina
Original language name
Evolving Workflow Graphs Using Typed Genetic Programming
Original language description
When applying machine learning techniques to more complicated datasets, it is often beneficial to use ensembles of simpler models instead of a single, more complicated, model. However, the creation of ensembles is a tedious task which requires a lot of human interaction and experimentation. In this paper, we present a technique for construction of ensembles based on typed genetic programming. The technique describes an ensemble as a directed acyclic graph, which is internally represented as a tree evolved by the genetic programming. The approach is evaluated in a series of experiments on various datasets and compared to the performance of simple models tuned by grid search, as well as to ensembles generated in a systematic manner.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Intelligence, 2015 IEEE Symposium Series on
ISBN
978-1-4799-7560-0
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1407-1414
Publisher name
IEEE
Place of publication
Neuveden
Event location
Kapské město, Jihoafrické republika
Event date
Dec 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—