The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Remarks on multi-output Gaussian process regression
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Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.191 · Cited by 23,387
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
Ridge regression: Biased estimation for nonorthogonal problems
Hoerl, A. E., & Kennard, R. W. (1970) · Technometrics · doi:10.1080/00401706.1970.10488634 · Cited by 9,648
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Shahriari, B., Swersky, K., Wang, Z., Adams, R. P., & de Freitas, N. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2494218 · Cited by 6,049
Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
Geostatistics for Natural Resources Evaluation
Coburn, T. C. (2000) · Technometrics · doi:10.1080/00401706.2000.10485733 · Cited by 4,131
Geostatistics: Modeling Spatial Uncertainty
Stein, M. L., Chiles, J.-P., & Delfiner, P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669569 · Cited by 2,880
Cited by
Recent Advances in Bayesian Optimization
Wang, X., Jin, Y., Schmitt, S., & Olhofer, M. (2023) · ACM Computing Surveys · doi:10.1145/3582078 · Cited by 477
Thelen, A., Lui, Y. H., Shen, S., Laflamme, S., Hu, S., Ye, H., & Hu, C. (2022) · Energy storage materials · doi:10.1016/j.ensm.2022.05.047 · Cited by 148
Li, X., Yuan, C., Wang, Z., & Xie, J. (2022) · Energy · doi:10.1016/j.energy.2021.122206 · Cited by 56
Bayesian Fusion Inspired 3D Reconstruction via LiDAR-Stereo Camera Pair
Kim, I., & Singh, S. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-47966-3_23 · Cited by 2
Metadata
- Authors
- Liu, H., Cai, J., & Ong, Y.-S.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 144
- Pages
- 102-121
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W2781973163
- Cited by
- 294
- References
- 94
- FWCI
- 9.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, H., Cai, J., & Ong, Y.-S. (2018). Remarks on multi-output Gaussian process regression. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2017.12.034
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.
