Paper Info
Title
An Analysis of Case Representations for Marathon Race Prediction and Planning.
Abstract
We use case-based reasoning to help marathoners achieve a personal best for an upcoming race, by helping them to select an achievable goal-time and a suitable pacing plan. We evaluate several case representations and, using real-world race data, highlight their performance implications. Richer representations do not always deliver better prediction performance, but certain representational configurations do offer very significant practical benefits for runners, when it comes to predicting, and planning for, challenging goal-times during an upcoming race.
Year
DOI
Venue
2018
10.1007/978-3-030-01081-2_25
ICCBR
Field
DocType
Citations 
Computer science,Artificial intelligence,Machine learning
Conference
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Barry Smyth15711414.55
Pádraig Cunningham23086218.37