Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering

Ildefons MAGRANS DE ABRIL, Masashi SUGIYAMA

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DOI: 10.1587/transinf.e96.d.742
Published: 2013
Container: IEICE Transactions on Information and Systems
Publisher: Institute of Electronics, Information and Communications Engineers (IEICE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1587/transinf.e96.d.742,
  title = {Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering},
  author = {Ildefons MAGRANS DE ABRIL and Masashi SUGIYAMA},
  year = {2013},
  journal = {IEICE Transactions on Information and Systems},
  doi = {10.1587/transinf.e96.d.742},
  url = {https://doi.org/10.1587/transinf.e96.d.742}
}

RIS

TY  - JOUR
TI  - Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering
AU  - Ildefons MAGRANS DE ABRIL
AU  - Masashi SUGIYAMA
PY  - 2013
JO  - IEICE Transactions on Information and Systems
DO  - 10.1587/transinf.e96.d.742
UR  - https://doi.org/10.1587/transinf.e96.d.742
ER  -

APA

ABRIL, I. M. D., & SUGIYAMA, M. (2013). Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering. IEICE Transactions on Information and Systems. https://doi.org/10.1587/transinf.e96.d.742

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crossref · retrieved 2026-09-25T04:37:42.644Z