ML Anthology

Machine Learning in Space: Extending Our Reach

Amy McGovern, Kiri L. Wagstaff
MLJ 2011 pp. 335-340
doi:10.1007/S10994-011-5249-4 /mlj/2011/mcgovern2011mlj-machine/

Abstract

We introduce the challenge of using machine learning effectively in space applications and motivate the domain for future researchers. Machine learning can be used to enable greater autonomy to improve the duration, reliability, cost-effectiveness, and science return of space missions. In addition to the challenges provided by the nature of space itself, the requirements of a space mission severely limit the use of many current machine learning approaches, and we encourage researchers to explore new ways to address these challenges.

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Cite

Text

McGovern and Wagstaff. "Machine Learning in Space: Extending Our Reach." Machine Learning, 2011. doi:10.1007/S10994-011-5249-4

Markdown

[McGovern and Wagstaff. "Machine Learning in Space: Extending Our Reach." Machine Learning, 2011.](https://mlanthology.org/mlj/2011/mcgovern2011mlj-machine/) doi:10.1007/S10994-011-5249-4

BibTeX

@article{mcgovern2011mlj-machine,
  title     = {{Machine Learning in Space: Extending Our Reach}},
  author    = {McGovern, Amy and Wagstaff, Kiri L.},
  journal   = {Machine Learning},
  year      = {2011},
  pages     = {335-340},
  doi       = {10.1007/S10994-011-5249-4},
  volume    = {84},
  url       = {https://mlanthology.org/mlj/2011/mcgovern2011mlj-machine/}
}