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Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physicsTani, Laurits; Veelken, ChristianComputer physics communications2024 / p. 108955 https://doi.org/10.1016/j.cpc.2023.108955

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Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics : [preprint]Tani, Laurits; Veelken, ChristianarXiv.org2024 / 8 p. : ill https://doi.org/10.48550/arXiv.2201.06809

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LightGBM-based fault diagnosis of rotating machinery under changing working conditions using modified recursive feature eliminationSaberi, Alireza Nemat; Belahcen, Anouar; Sobra, Jan; Vaimann, ToomasIEEE Access2022 / p. 81910-81925 https://doi.org/10.1109/ACCESS.2022.3195939 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Number of records 3, displaying 1 - 3

1. hyperparameter optimization
2. Bound Optimization BY Quadratic Approximation optimization algorithm
3. adaptive chaotic class topper optimization (AC-CTO)
4. African vultures optimization approach
5. algorithm optimization
6. ameliorated quantum class topper optimization (A-QCTO)
7. ant colony optimization
8. area optimization
9. battery size optimization
10. Bayesian optimization
11. berthing time optimization
12. bi-level optimization
13. biogeography based optimization
14. bioprocess optimization
15. budget optimization
16. business process optimization
17. CdS chlorine assisted optimization
18. circuit optimization
19. class topper optimization
20. class topper optimization (CTO)
21. Combinatorial optimization
22. constrained constructive optimization
23. control optimization
24. convex optimization
25. crest factor optimization
26. Cut-off optimization
27. data-driven optimization
28. daylight optimization
29. dead time optimization
30. decentralized optimization
31. delay-aware optimization
32. design optimization
33. Economic optimization model
34. efficiency optimization
35. electric floor heating expenditure cost optimization
36. energy optimization
37. evolutionary optimization
38. FEM/SEA optimization
39. free size optimization
40. global optimization techniques
41. inventory optimization
42. investment optimization
43. mathematical optimization
44. medium optimization
45. multicriteria optimization
46. multi-criteria optimization
47. multidisciplinary optimization
48. Multihorizon optimization
49. multi-objective optimization
50. multi-objective optimization (MOO)
51. multi-optimization
52. non-convex optimization
53. nonlinear optimization
54. optimization
55. optimization (EMO)
56. optimization algorithm
57. optimization algorithms
58. optimization component
59. optimization methods
60. optimization models
61. optimization of resources
62. optimization of the mechanical design
63. optimization software
64. optimization techniques
65. optimization tools
66. outdoor thermal comfort optimization
67. Pareto optimization
68. particle swarm optimization
69. particle swarm optimization (PSO)
70. PDE constrained optimization
71. performance optimization
72. power optimization
73. process optimization
74. pseudo-Boolean optimization
75. pumping optimization
76. reliability optimization
77. Renewable energy optimization in buildings
78. robust design optimization
79. rule-based non-linear optimization
80. schedule optimization
81. shape optimization
82. simulation based static optimization
83. Simultaneous model-based optimization
84. stochastic optimization
85. swarm intelligence optimization
86. switching loop optimization
87. system optimization
88. test optimization
89. topology optimization
90. training set optimization
91. trajectory optimization
92. transport route optimization
93. vehicle route optimization

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