Skip to main content Accessibility help
×
Hostname: page-component-5b777bbd6c-7sgmh Total loading time: 0 Render date: 2025-06-19T12:38:46.656Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  aN Invalid Date NaN

Carlos Fernandez-Granda
Affiliation:
New York University
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2025

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Book purchase

Temporarily unavailable

References

ADNI. 2020. Alzheimer’s Disease Neuroimaging Initiative. http://adni.loni.usc.edu.Google Scholar
Benjamini, Yoav, and Hochberg, Yosef. 1995. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289300.CrossRefGoogle Scholar
Bishop, Christopher M. 2006. Pattern recognition and machine learning. Springer.Google Scholar
Boyd, Stephen P., and Vandenberghe, Lieven. 2004. Convex optimization. Cambridge University Press.CrossRefGoogle Scholar
Candès, Emmanuel J., and Recht, Benjamin. 2009. Exact matrix completion via convex optimization.10.1109/ALLERTON.2008.4797640CrossRefGoogle Scholar
Foundations of Computational Mathematics, 9(6), 717772.CrossRefGoogle Scholar
Charytanowicz, Małgorzata, Niewczas, Jerzy, Kulczycki, Piotr, Kowalski, Piotr A., Łukasik, Szymon, and Żak, Sławomir. 2010. Complete gradient clustering algorithm for features analysis of x-ray images. Pages 15–24 of: Information Technologies in Biomedicine: Volume 2. Springer.Google Scholar
Chen, Tianqi, and Guestrin, Carlos. 2016. Xgboost: A scalable tree boosting system. Pages 785–794 of: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining.Google Scholar
CHRR. 2022. County Health Rankings National Findings Report, University of Wisconsin Population Health Institute.Google Scholar
Cortez, Paulo, and Silva, Alice Maria Gonçalves. 2008. Using data mining to predict secondary school student performance.Google Scholar
Cover, Thomas M. 1999. Elements of information theory. John Wiley & Sons.Google Scholar
Durrett, Rick. 2019. Probability: theory and examples. Vol. 49. Cambridge University Press.10.1017/9781108591034CrossRefGoogle Scholar
Eckhardt, Roger. 1987. Stan Ulam, John von Neumann and the Monte Carlo method. Los Alamos Science, 100(15), 131.Google Scholar
Fisher, Ronald A. 1915. Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika, 10(4), 507521.Google Scholar
Goodfellow, Ian, Bengio, Yoshua, and Courville, Aaron. 2016. Deep learning. MIT Press.Google Scholar
Gordon, Claire C., Blackwell, Cynthia L., Bradtmiller, Bruce, et al. 2014. 2012 anthropometric survey of us army personnel: Methods and summary statistics. Army Natick Soldier Research Development and Engineering Center MA, Technical Report.Google Scholar
Haider, Humza, Hoehn, Bret, Davis, Sarah, and Greiner, Russell. 2020. Effective ways to build and evaluate individual survival distributions. Journal of Machine Learning Research, 21(85), 163.Google Scholar
Maxwell, Harper, F., and Konstan, Joseph A. 2015. The Movielens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems, 5(4), 119.Google Scholar
Hastie, Trevor, Tibshirani, Robert, and Friedman, Jerome H. 2009. The elements of statistical learning: Data mining, inference, and prediction. Vol. 2. Springer.10.1007/978-0-387-84858-7CrossRefGoogle Scholar
Head, Megan L., Holman, Luke, Lanfear, Rob, Kahn, Andrew T., and Jennions, Michael D. 2015. The extent and consequences of p-hacking in science. PLoS Biology, 13(3), e1002106.CrossRefGoogle ScholarPubMed
Jain, Prateek, Netrapalli, Praneeth, and Sanghavi, Sujay. 2013. Low-rank matrix completion using alternating minimization. Pages 665–674 of: Proceedings of the forty-fifth annual ACM symposium on theory of computing.CrossRefGoogle Scholar
Keshavan, Raghunandan, Montanari, Andrea, and Oh, Sewoong. 2009. Matrix completion from noisy entries. Advances in Neural Information Processing Systems, 22.Google Scholar
Kingma, Diederik P., and Ba, Jimmy. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980.Google Scholar
Lancia, Carlo, and Lulli, Guglielmo. 2017. Data-driven modelling and validation of aircraft inbound-stream at some major European airports. arXiv preprint arXiv:1708.02486.Google Scholar
Lecun, Yann, Bottou, Léon, Bengio, Yoshua, and Haffner, Patrick. 1998. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 22782324.10.1109/5.726791CrossRefGoogle Scholar
Liu, Sheng, Masurkar, Arjun V., Rusinek, Henry, et al. 2022. Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs. Scientific Reports, 12(1), 17106.10.1038/s41598-022-20674-xCrossRefGoogle ScholarPubMed
Mandelbaum, A., Sakov, A., and Zeltyn, S. 2000. Empirical analysis of a call center. Technical Report, Technion, Haifa, Israel.Google Scholar
Mazumder, Rahul, Hastie, Trevor, and Tibshirani, Robert. 2010. Spectral regularization algorithms for learning large incomplete matrices. The Journal of Machine Learning Research, 11, 22872322.Google ScholarPubMed
NACC. 2020. National Alzheimer’s Coordinating Center. https://naccdata.org.Google Scholar
Nordhaus, William, Azam, Qazi, Corderi, David, et al. 2006. The G-Econ database on gridded output: Methods and data. Yale University, New Haven, 6, 11.Google Scholar
Paszke, Adam, Gross, Sam, Massa, Francisco, et al. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. Pages 8024–8035 of: Advances in Neural Information Processing Systems 32. Curran Associates, Inc.Google Scholar
Pedregosa, Fabian, Varoquaux, Gaël, Gramfort, Alexandre, et al. 2011. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 28252830.Google Scholar
Polack, Fernando P., Thomas, Stephen J., Kitchin, Nicholas, et al. 2020. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. New England Journal of Medicine.10.1056/NEJMoa2034577CrossRefGoogle ScholarPubMed
Samaria, Ferdinando S., and Harter, Andy C. 1994. Parameterisation of a stochastic model for human face identification. Pages 138–142 of: Proceedings of 1994 IEEE workshop on applications of computer vision. IEEE.Google Scholar
Shewchuk, Jonathan Richard, et al. 1994. An introduction to the conjugate gradient method without the agonizing pain.Google Scholar
Siroker, Dan. 2010. How Obama raised 60 million by running a simple experiment. www.optimizely.com/insights/blog/how-obama-raised-60-million-by-running-a-simple-experiment/.Google Scholar
Tibshirani, Robert. 1996. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 267288.CrossRefGoogle Scholar
Tversky, Amos, and Kahneman, Daniel. 1983. Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment. Psychological Review, 90(4), 293.CrossRefGoogle Scholar
UCI. 1987. Congressional voting records. UCI machine learning repository. https://doi.org/10.24432/C5C01P.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×