Randal S. Olson, Jason H. Moore. Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool. In Rick L. Riolo, Bill Worzel, Brian Goldman, Bill Tozier, editors, Genetic Programming Theory and Practice XIV, [GPTP 2016, University of Michigan, Ann Arbor, USA, May 19-21, 2016]. Genetic and Evolutionary Computation, pages 211-223, Springer, 2016. [doi]
@inproceedings{OlsonM16-0,
title = {Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool},
author = {Randal S. Olson and Jason H. Moore},
year = {2016},
doi = {10.1007/978-3-319-97088-2_14},
url = {https://doi.org/10.1007/978-3-319-97088-2_14},
researchr = {https://researchr.org/publication/OlsonM16-0},
cites = {0},
citedby = {0},
pages = {211-223},
booktitle = {Genetic Programming Theory and Practice XIV, [GPTP 2016, University of Michigan, Ann Arbor, USA, May 19-21, 2016]},
editor = {Rick L. Riolo and Bill Worzel and Brian Goldman and Bill Tozier},
series = {Genetic and Evolutionary Computation},
publisher = {Springer},
isbn = {978-3-319-97088-2},
}