The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Primer on Kernel Methods
Open accessAbstract
Kernel methods in general, and support vector machines (SVMs) in particular, are increasingly used to solve various problems in computational biology.They offer versatile tools to process, analyze, and compare many types of data, and offer stateof-the-art performance in many cases.This self-contained introduction to positive definite kernels and kernel methods aims at providing the very basic knowledge and intuition that the reader might find useful in order to fully grasp the technical content of this book.
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Estimating the Support of a High-Dimensional Distribution
Schölkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001) · Neural Computation · doi:10.1162/089976601750264965 · Cited by 6,168
Self-citation
Cited by
Prediction of protein stability changes for single‐site mutations using support vector machines
Cheng, J., Randall, A., & Baldi, P. (2006) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20810 · Cited by 1,160
Mohamed, A., Qian, K., Elhoseiny, M., & Claudel, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.01443 · Cited by 989
Camps, J., Samà, A., Martín, M., Rodríguez-Martín, D., Pérez-López, C., Moreno Arostegui, J. M., Cabestany, J., Català, A., Alcaine, S., Mestre, B., et al. (2018) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.10.017 · Cited by 224
${l_p}$-norms in One-Class Classification for Intrusion Detection in SCADA Systems
Nader, P., Honeine, P., & Beauseroy, P. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2330796 · Cited by 122
Mahrenholz, C. C., Abfalter, I. G., Bodenhofer, U., Volkmer, R., & Hochreiter, S. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.004994 · Cited by 47
“The nontechnical reader may find these introductory tutorials (30–32) or standard literature (33–35) helpful to become familiar with the topic of support vector machines.”
Background
Metadata
- Authors
- Vert, J.-P., Tsuda, K., & Schölkopf, B.
- Venue
- Kernel Methods in Computational Biology
- Publisher
- The MIT Press
- Published
- 2004-07-16
- Pages
- 35-70
- OpenAlex
- W2100233488
- Cited by
- 365
- References
- 3
- FWCI
- 6.41
- Type
- book chapter
- Language
- en
- Open access
- green
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- Vert, J.-P., Tsuda, K., & Schölkopf, B. (2004). A Primer on Kernel Methods. Kernel Methods in Computational Biology. https://doi.org/10.7551/mitpress/4057.003.0004
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