The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Applications of Support Vector Machines in Chemistry
Abstract
This chapter contains sections titled: Introduction A Nonmathematical Introduction to SVM Pattern Classification The Vapnik–Chervonenkis Dimension Pattern Classification with Linear Support Vector Machines Nonlinear Support Vector Machines SVM Regression Optimizing the SVM Model Practical Aspects of SVM Classification Practical Aspects of SVM Regression Review of SVM Applications in Chemistry SVM Resources on the Web SVM Software Conclusions References
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Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
A tutorial on support vector regression
Smola, A. J., & Schölkopf, B. (2004) · Statistics and Computing · doi:10.1023/b:stco.0000035301.49549.88 · Cited by 13,387
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Practical Methods of Optimization
Fletcher, R. (2000) · Wiley eBooks · doi:10.1002/9781118723203 · Cited by 7,605
A comparison of methods for multiclass support vector machines
Hsu, C.-W., & Lin, C.-J. (2002) · IEEE Transactions on Neural Networks · doi:10.1109/72.991427 · Cited by 6,838
Kernel Methods for Pattern Analysis
Shawe-Taylor, J., & Cristianini, N. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511809682 · Cited by 6,587
An overview of statistical learning theory
Vapnik, V. N. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.788640 · Cited by 6,266
Cited by
Potential of quantum computing for drug discovery
Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development · doi:10.1147/jrd.2018.2888987 · Cited by 357
Zahrt, A. F., Athavale, S. V., & Denmark, S. E. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00425 · Cited by 212
Expert System for Predicting Reaction Conditions: The Michael Reaction Case
Marcou, G., Aires de Sousa, J., Latino, D. A. R. S., de Luca, A., Horvath, D., Rietsch, V., & Varnek, A. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/ci500698a · Cited by 86
Metadata
- Authors
- Ivanciuc, O.
- Venue
- Reviews in Computational Chemistry
- Publisher
- Wiley
- Published
- 2007-01-25
- Pages
- 291-400
- ISSN
- 1069-3599 (ISSN-L)
- 1934-5372
- OpenAlex
- W2097745317
- Cited by
- 384
- References
- 120
- Type
- other
- Language
- en
- Open access
- closed
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