The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
What Is Machine Learning?
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
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Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Reinforcement Learning: An Introduction
(2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 24,496
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
Proceedings of the 19th International Joint Conference on Artificial Intelligence
Pujol, J. M., Delgado, J., Ramon Sangüesa, A., & Flache, A. (2005) · International Joint Conference on Artificial Intelligence · Cited by 5,771
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- Ao S-I, Rieger BB, Amouzegar MA. Machine learning and systems engineering. Dordrecht/New York: Springer; 2010. · doi:10.1007/978-90-481-9419-3
- Györfi L, Ottucsák G, Walk H. Machine learning for financial engineering. Singapore/London: World Scientific; 2012. · doi:10.1142/p818
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- Yu J, Tao D. Modern machine learning techniques and their applications in cartoon animation research. 1st ed. Hoboken: Wiley; 2013. · doi:10.1002/9781118559963
- Mitra S. Introduction to machine learning and bioinformatics. Boca Raton: CRC Press; 2008. · doi:10.1201/b17186
- Munley MT, Lo JY, Sibley GS, Bentel GC, Anscher MS, Marks LB. A neural network to predict symptomatic lung injury. Phys Med Biol. 1999;44:2241–9. · doi:10.1088/0031-9155/44/9/311
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Cited by
Machine learning in mental health: a scoping review of methods and applications
Shatte, A. B. R., Hutchinson, D. M., & Teague, S. J. (2019) · Psychological Medicine · doi:10.1017/s0033291719000151 · Cited by 1,047
Network Intrusion Detection for IoT Security Based on Learning Techniques
Chaabouni, N., Mosbah, M., Zemmari, A., Sauvignac, C., & Faruki, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2896380 · Cited by 940
A Review of Machine Learning and IoT in Smart Transportation
Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019) · Future Internet · doi:10.3390/fi11040094 · Cited by 625
A deep learning method with wrapper based feature extraction for wireless intrusion detection system
Kasongo, S. M., & Sun, Y. (2020) · Computers & Security · doi:10.1016/j.cose.2020.101752 · Cited by 373
Survey on deep learning for radiotherapy
Meyer, P., Noblet, V., Mazzara, C., & Lallement, A. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.018 · Cited by 302
Metadata
- Authors
- El Naqa, I., & Murphy, M. J.
- Venue
- Machine Learning in Radiation Oncology
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 3-11
- OpenAlex
- W1528741131
- Cited by
- 772
- References
- 34
- FWCI
- 17.67
- Type
- book chapter
- Language
- en
- Open access
- closed
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- El Naqa, I., & Murphy, M. J. (2015). What Is Machine Learning? Machine Learning in Radiation Oncology. https://doi.org/10.1007/978-3-319-18305-3_1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
