The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933
Numerical recipes in Pascal: the art of scientific computing
(1990) · Choice Reviews Online · doi:10.5860/choice.27-5158 · Cited by 11,811
UCI Repository of machine learning databases
Blake, C. L. (1998) · Medical Entomology and Zoology · Cited by 10,582
Least Squares Support Vector Machine Classifiers
Suykens, J. A. K., & Vandewalle, J. (1999) · Neural Processing Letters · doi:10.1023/a:1018628609742 · Cited by 9,362
Proceedings of the 25th international conference on Machine learning - ICML '08
(2008) · doi:10.1145/1390156 · Cited by 6,680
Numerical Recipes in C: The Art of Scientific Computing.
Birchenhall, C., Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · The Economic Journal · doi:10.2307/2234664 · Cited by 4,355
Least Squares Support Vector Machines
Suykens, J. A. K., Van Gestel, T., De Brabanter, J., De Moor, B., & Vandewalle, J. (2002) · WORLD SCIENTIFIC eBooks · doi:10.1142/5089 · Cited by 3,642
Fisher discriminant analysis with kernels
Mika, S., Ratsch, G., Weston, J., Scholkopf, B., & Mullers, K. R. (2003) · Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468) · doi:10.1109/nnsp.1999.788121 · Cited by 2,661
Advances in Large-Margin Classifiers
(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.001.0001 · Cited by 1,869
Cited by
(2010) · doi:10.5555/1756006.1859921 · Cited by 1,924
Wang, S., Yu, L., Tang, L., & Wang, S. (2011) · Energy · doi:10.1016/j.energy.2011.09.010 · Cited by 135
Metadata
- Authors
- An, S., Liu, W., & Venkatesh, S.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2007-08
- Volume
- 40
- Issue
- 8
- Pages
- 2154-2162
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W1973650920
- Cited by
- 301
- References
- 23
- FWCI
- 14.58
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. https://app.cochat.ai/papers/10.1016/j.patcog.2006.12.015
- The paper
- An, S., Liu, W., & Venkatesh, S. (2007). Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. Pattern Recognition. https://doi.org/10.1016/j.patcog.2006.12.015
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.
