×

zbMATH — the first resource for mathematics

Comments on: “On active learning methods for manifold data”. (English) Zbl 1439.62262
Comments on the paper [H. Li et al., ibid. 29, No. 1, 1–33 (2020; Zbl 1439.62264)].
MSC:
62R30 Statistics on manifolds
62H30 Classification and discrimination; cluster analysis (statistical aspects)
62K05 Optimal statistical designs
60G15 Gaussian processes
68T05 Learning and adaptive systems in artificial intelligence
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: 2009 IEEE conference on computer vision and pattern recognition, pp 248-255
[2] Gahrooei, Mr; Paynabar, K.; Pacella, M.; Colosimo, Bm, An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data, IISE Trans, 51, 11, 1-14 (2019)
[3] Gal Y, Islam R, Ghahramani Z (2017) Deep Bayesian active learning with image data. In: Proceedings of the 34th international conference on machine learning, vol 70, pp 1183-1192
[4] Gramacy, Rb, laGP: large-scale spatial modeling via local approximate Gaussian processes in R, J Stat Softw, 72, 1, 1-46 (2016)
[5] Mesnil O, Yan H, Ruzzene M, Paynabar K, Shi J (2014) Frequency domain instantaneous wavenumber estimation for damage quantification in layered plate structures. In: EWSHM-7th European workshop on structural health monitoring, 2014
[6] Roustant O, Ginsbourger D, Deville Y (2012) DiceKriging, DiceOptim: two R packages for the analysis of computer experiments by kriging-based metamodeling and optimization
[7] Simpson, Ja, Mechanical measurement and manufacturing, Control Dyn Syst Adv Theory Appl, 45, 17 (1992)
[8] Smailagic A, Costa P, Noh HY, Walawalkar D, Khandelwal K, Galdran A, Mirshekari M, Fagert J, Xu S, Zhang P, Campilho A. MedAL (2018) Accurate and robust deep active learning for medical image analysis. In: 17th IEEE international conference on machine learning and applications (ICMLA) 2018, pp 481-488
[9] Snelson E, Ghahramani Z (2006) Sparse Gaussian processes using pseudo-inputs. In: Advances in neural information processing systems, pp 1257-1264
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.