- author = "Tomas Kren and Martin Pilat and Roman Neruda",
- booktitle = "2015 IEEE Symposium Series on Computational Intelligence",
- title = "Evolving Workflow Graphs Using Typed Genetic Programming",
- year = "2015",
- pages = "1407--1414",
- abstract = "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.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/SSCI.2015.200",
- month = dec,
-
notes = "Fac. of Math. & Phys., Charles Univ. in Prague,
Prague, Czech Republic
Also known as \cite{7376776}",
