237 related articles for article (PubMed ID: 29960350)
21. SemiBoost: boosting for semi-supervised learning.
Mallapragada PK; Jin R; Jain AK; Liu Y
IEEE Trans Pattern Anal Mach Intell; 2009 Nov; 31(11):2000-14. PubMed ID: 19762927
[TBL] [Abstract][Full Text] [Related]
22. Scalable large-margin Mahalanobis distance metric learning.
Shen C; Kim J; Wang L
IEEE Trans Neural Netw; 2010 Sep; 21(9):1524-30. PubMed ID: 20709641
[TBL] [Abstract][Full Text] [Related]
23. Import Vector Domain Description: A Kernel Logistic One-Class Learning Algorithm.
Decherchi S; Rocchia W
IEEE Trans Neural Netw Learn Syst; 2017 Jul; 28(7):1722-1729. PubMed ID: 27093710
[TBL] [Abstract][Full Text] [Related]
24. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.
Faber FA; Hutchison L; Huang B; Gilmer J; Schoenholz SS; Dahl GE; Vinyals O; Kearnes S; Riley PF; von Lilienfeld OA
J Chem Theory Comput; 2017 Nov; 13(11):5255-5264. PubMed ID: 28926232
[TBL] [Abstract][Full Text] [Related]
25. Complex extreme learning machine applications in terahertz pulsed signals feature sets.
Yin XX; Hadjiloucas S; Zhang Y
Comput Methods Programs Biomed; 2014 Nov; 117(2):387-403. PubMed ID: 25037827
[TBL] [Abstract][Full Text] [Related]
26. Partial Label Learning via Gaussian Processes.
Zhou Y; He J; Gu H
IEEE Trans Cybern; 2017 Dec; 47(12):4443-4450. PubMed ID: 28113534
[TBL] [Abstract][Full Text] [Related]
27. Machine Learning Using Combined Structural and Chemical Descriptors for Prediction of Methane Adsorption Performance of Metal Organic Frameworks (MOFs).
Pardakhti M; Moharreri E; Wanik D; Suib SL; Srivastava R
ACS Comb Sci; 2017 Oct; 19(10):640-645. PubMed ID: 28800219
[TBL] [Abstract][Full Text] [Related]
28. DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning.
Fralish Z; Chen A; Skaluba P; Reker D
J Cheminform; 2023 Oct; 15(1):101. PubMed ID: 37885017
[TBL] [Abstract][Full Text] [Related]
29. Engineering proteinase K using machine learning and synthetic genes.
Liao J; Warmuth MK; Govindarajan S; Ness JE; Wang RP; Gustafsson C; Minshull J
BMC Biotechnol; 2007 Mar; 7():16. PubMed ID: 17386103
[TBL] [Abstract][Full Text] [Related]
30. The generalized LASSO.
Roth V
IEEE Trans Neural Netw; 2004 Jan; 15(1):16-28. PubMed ID: 15387244
[TBL] [Abstract][Full Text] [Related]
31. Scalable Nearest Neighbor Algorithms for High Dimensional Data.
Muja M; Lowe DG
IEEE Trans Pattern Anal Mach Intell; 2014 Nov; 36(11):2227-40. PubMed ID: 26353063
[TBL] [Abstract][Full Text] [Related]
32. Generalized locality preserving Maxi-Min Margin Machine.
Zhang Z; Choi KS; Luo X; Wang S
Neural Netw; 2012 Dec; 36():18-24. PubMed ID: 23037772
[TBL] [Abstract][Full Text] [Related]
33. Machine learned calibrations to high-throughput molecular excited state calculations.
Verma S; Rivera M; Scanlon DO; Walsh A
J Chem Phys; 2022 Apr; 156(13):134116. PubMed ID: 35395896
[TBL] [Abstract][Full Text] [Related]
34. Probability-confidence-kernel-based localized multiple kernel learning with lp norm.
Han Y; Liu G
IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):827-37. PubMed ID: 22262684
[TBL] [Abstract][Full Text] [Related]
35. Predicting molecular properties with covariant compositional networks.
Hy TS; Trivedi S; Pan H; Anderson BM; Kondor R
J Chem Phys; 2018 Jun; 148(24):241745. PubMed ID: 29960355
[TBL] [Abstract][Full Text] [Related]
36. Linear regression-based efficient SVM learning for large-scale classification.
Wu J; Yang H
IEEE Trans Neural Netw Learn Syst; 2015 Oct; 26(10):2357-69. PubMed ID: 25576581
[TBL] [Abstract][Full Text] [Related]
37. ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learning.
Kayala MA; Baldi P
J Chem Inf Model; 2012 Oct; 52(10):2526-40. PubMed ID: 22978639
[TBL] [Abstract][Full Text] [Related]
38. Stacked Ensemble Machine Learning for Range-Separation Parameters.
Ju CW; French EJ; Geva N; Kohn AW; Lin Z
J Phys Chem Lett; 2021 Oct; 12(39):9516-9524. PubMed ID: 34559964
[TBL] [Abstract][Full Text] [Related]
39. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
Ramakrishnan R; Dral PO; Rupp M; von Lilienfeld OA
J Chem Theory Comput; 2015 May; 11(5):2087-96. PubMed ID: 26574412
[TBL] [Abstract][Full Text] [Related]
40.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
