The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The changing science of machine learning
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“Second, the field of data science has historically focused on certain tasks and evaluation metrics 2 that are not applicable to some of climate science's biggest needs.”
From A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science (2014) · cites this paper as [2]
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“Traditional data science, and machine learning specifically, has relied on attribute-value data as input to most learning models.2”
From A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science (2014) · cites this paper as [2]
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(2013) · Springer eBooks · Cited by 2,625
Machine learning: An artificial intelligence approach
Hunt, E. (1983) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(83)90037-8 · Cited by 1,375
Explanation-Based Learning: An Alternative View
DEJONG, G. F., & Mooney, R. J. (1986) · Machine Learning · doi:10.1023/a:1022898111663 · Cited by 839
Chunking in Soar: The Anatomy of a General Learning Mechanism
Laird, J. E., Rosenbloom, P. S., & Newell, A. (1986) · Machine Learning · doi:10.1023/a:1022639103969 · Cited by 509
Chunking in Soar: The anatomy of a general learning mechanism
Laird, J. E., Rosenbloom, P. S., & Newell, A. (1986) · Machine Learning · doi:10.1007/bf00116249 · Cited by 287
Simon, H. A. (1983) · Springer eBooks · doi:10.1007/978-3-662-12405-5_2 · Cited by 267
Machine learning as an experimental science
Langley, P. (1988) · Machine Learning · doi:10.1007/bf00115008 · Cited by 187
Self-citationAutomated Refinement of First-Order Horn-Clause Domain Theories
Richards, B. L., & Mooney, R. J. (1995) · Machine Learning · doi:10.1023/a:1022611224557 · Cited by 138
Toward a Unified Science of Machine Learning
Langley, P. (1989) · Machine Learning · doi:10.1023/a:1022689616458 · Cited by 39
Self-citationResearch Papers in Machine Learning
Langley, P. (1987) · Machine Learning · doi:10.1023/a:1022603230145 · Cited by 12
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Machine Learning: The art and science of algorithms that make sense of data
Flach, P. A. (2012) · Cited by 694
Machine learning for medical imaging: methodological failures and recommendations for the future
Varoquaux, G. P., & Cheplygina, V. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00592-y · Cited by 815
An Artificial Sensory Neuron with Tactile Perceptual Learning
Wan, C., Chen, G., Fu, Y., Wang, M., Matsuhisa, N., Pan, S., Pan, L., Yang, H., Wan, Q., Zhu, L., et al. (2018) · Advanced Materials · doi:10.1002/adma.201801291 · Cited by 418
Moein, M. M., Saradar, A., Rahmati, K., Mousavinejad, S. H. G., Bristow, J., Aramali, V., & Karakouzian, M. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.105444 · Cited by 419
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science
Faghmous, J. H., & Kumar, V. (2014) · Big Data · doi:10.1089/big.2014.0026 · Cited by 223
Metadata
- Authors
- Langley, P.
- Venue
- Machine Learning
- Published
- 2011-02-18
- Volume
- 82
- Issue
- 3
- Pages
- 275-279
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2038507439
- Cited by
- 174
- References
- 11
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 14 · 2023: 21 · 2022: 19 · 2021: 29 · 2020: 17 · 2019: 15 · 2018: 9 · 2017: 8 · 2016: 3 · 2015: 8 · 2014: 5 · 2013: 5 · 2012: 6
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Machine Learning (publishedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
- Physical Sciences › Computer Science › Computer Science Applications › History of Computing Technologies
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Historical Studies and Socio-cultural Analysis
- Keywords
- history of machine learning, journal founding, computational learning theory, journal editorial history
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