The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
kernlab- An S4 Package for Kernel Methods in R
Open accessAbstract
kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method.
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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
Building Predictive Models in R Using the caret Package
Kuhn, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v028.i05 · Cited by 8,863
Statistical and machine learning forecasting methods: Concerns and ways forward
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018) · PLOS ONE · doi:10.1371/journal.pone.0194889 · Cited by 1,528
Calibrating Probability with Undersampling for Unbalanced Classification
Pozzolo, A. D., Caelen, O., Johnson, R. A., & Bontempi, G. (2015) · 2015 IEEE Symposium Series on Computational Intelligence · doi:10.1109/ssci.2015.33 · Cited by 667
Resurrecting Surviving Neandertal Lineages from Modern Human Genomes
Vernot, B., & Akey, J. M. (2014) · Science · doi:10.1126/science.1245938 · Cited by 562
scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
Alquicira-Hernandez, J., Sathe, A., Ji, H. P., Nguyen, Q., & Powell, J. E. (2019) · Genome Biology · doi:10.1186/s13059-019-1862-5 · Cited by 482
Metadata
- Authors
- Karatzoglou, A., Smola, A., Hornik, K., & Zeileis, A.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2004
- Volume
- 11
- Issue
- 9
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2157963336
- Cited by
- 1,786
- References
- 4
- FWCI
- 4.74
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Karatzoglou, A., Smola, A., Hornik, K., & Zeileis, A. (2004). kernlab- An S4 Package for Kernel Methods in R. Journal of Statistical Software. https://doi.org/10.18637/jss.v011.i09
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