Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach
- DOI
- 10.1007/978-3-319-45507-5_6
- Published
- 2016
- Container
- Not recorded
- Publisher
- Springer International Publishing
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-319-45507-5_6,
title = {Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach},
author = {Andreas Holzinger and Markus Plass and Katharina Holzinger and Gloria Cerasela Crişan and Camelia-M. Pintea and Vasile Palade},
year = {2016},
doi = {10.1007/978-3-319-45507-5_6},
url = {https://doi.org/10.1007/978-3-319-45507-5_6}
}RIS
TY - JOUR TI - Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach AU - Andreas Holzinger AU - Markus Plass AU - Katharina Holzinger AU - Gloria Cerasela Crişan AU - Camelia-M. Pintea AU - Vasile Palade PY - 2016 DO - 10.1007/978-3-319-45507-5_6 UR - https://doi.org/10.1007/978-3-319-45507-5_6 ER -
APA
Holzinger, A., Plass, M., Holzinger, K., Crişan, G. C., Pintea, C., & Palade, V. (2016). Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach. https://doi.org/10.1007/978-3-319-45507-5_6
Source records
- hal · retrieved 2026-09-25T22:43:54.353Z