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Machine learning predictions of superalloymicrostructure Patrick L.…
www.tcm.phy.cam.ac.uk/~gjc29/papers/TaylorConduit21.pdf28 Sep 2021: Email: pt409@cam.ac.uk. Preprint submitted to Computational Materials Science September 24, 2021. ... 8 305.2 856.9 31.0 941.4 24.8Frequency 92 38 7. -
March 5, 2021 8:54 IJAIT S0218213021500081 page 1 International ...
www.tcm.phy.cam.ac.uk/~tmw38/Whitehead21.pdf2 Oct 2021: deep learning approaches,24 methods that mitigate against training time, as well. ... Ba, Adam: A method for stochastic optimization, arXiv e-prints,. art. arXiv:1412.6980 (2014).24. -
Template for Electronic Submission to ACS Journals
www.tcm.phy.cam.ac.uk/~tmw38/IrwinLevellWhiteheadSegallConduit20.pdf2 Oct 2021: QSAR methods 20 including decision trees and random forests 21–23, radial basis functions 24,. ... B. 24. Figure 9. Comparison of the results on the independent test set for best of four QSAR methods. -
Deep imputation on large‐scale drug discovery data
www.tcm.phy.cam.ac.uk/~tmw38/Irwin21.pdf2 Oct 2021: L E T T E R. Deep imputation on large-scale drug discovery data. Benedict W. J. Irwin1,2 | Thomas M. Whitehead3 | Scott Rowland4 |. Samar Y. Mahmoud1 | Gareth J. Conduit2,3 | Matthew D. Segall1. 1Optibrium Limited, CambridgeInnovation Park, Cambridge -
Imputation of Sensory Properties Using Deep Learning Samar Mahmoud†,…
www.tcm.phy.cam.ac.uk/~gjc29/papers/MahmoudIrwinChekmarevVyasKattasWhiteheadMansleyBikkerConduitSegall21.pdf15 Oct 2021: latent variables; Radial basis functions (RBF) [24]; Random forests (RF) [22]; and Gaussian process (GP) with. ... kernel-based learning methods, Cambridge, U.K.: Cambridge University Press, 2000. [24] P.
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