Marathon Race Planning: A Case-Based Reasoning Approach

IJCAI 2018 pp. 5364-5368

doi:10.24963/IJCAI.2018/754 /ijcai/2018/smyth2018ijcai-marathon/

Abstract

We describe and evaluate a novel application of case-based reasoning to help marathon runners to achieve a personal best by: (a) predicting a challenging, but realistic race-time; and (b) recommending a race-plan to achieve this time.

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Cite

Text

Smyth and Cunningham. "Marathon Race Planning: A Case-Based Reasoning Approach." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/754

Markdown

[Smyth and Cunningham. "Marathon Race Planning: A Case-Based Reasoning Approach." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/smyth2018ijcai-marathon/) doi:10.24963/IJCAI.2018/754

BibTeX

@inproceedings{smyth2018ijcai-marathon,
  title     = {{Marathon Race Planning: A Case-Based Reasoning Approach}},
  author    = {Smyth, Barry and Cunningham, Padraig},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5364-5368},
  doi       = {10.24963/IJCAI.2018/754},
  url       = {https://mlanthology.org/ijcai/2018/smyth2018ijcai-marathon/}
}