Semantic Scholar Open Access 2014 1498 sitasi

OpenML: networked science in machine learning

J. Vanschoren J. N. V. Rijn B. Bischl Luís Torgo

Lihat Sumber DOI

Abstrak

Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this paper, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can work more effectively, be more visible, and collaborate with others to tackle harder problems. We discuss how OpenML relates to other examples of networked science and what benefits it brings for machine learning research, individual scientists, as well as students and practitioners.

Topik & Kata Kunci

Computer Science

Penulis (4)

J. Vanschoren

J. N. V. Rijn

B. Bischl

Luís Torgo

Format Sitasi

APA MLA BibTeX

Vanschoren, J., Rijn, J.N.V., Bischl, B., Torgo, L. (2014). OpenML: networked science in machine learning. https://doi.org/10.1145/2641190.2641198

Akses Cepat

Lihat di Sumber doi.org/10.1145/2641190.2641198

Informasi Jurnal

Tahun Terbit: 2014
Bahasa: en
Total Sitasi: 1498×
Sumber Database: Semantic Scholar
DOI: 10.1145/2641190.2641198
Akses: Open Access ✓