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Machine learning to tackle the challenges of transient and soft errors in complex circuitsLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), 1-3 July 2019, Greece2019 / p. 7-14 : ill https://doi.org/10.1109/IOLTS.2019.8854423

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On the estimation of complex circuits functional failure rate by machine learning techniquesLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - DSN 2019 : Supplemental Volume : proceedings2019 / p. 35-41 : ill https://doi.org/10.1109/DSN-S.2019.00021

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- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks

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1. support vector regression
2. multi-class support vector machine (m-SVM)
3. support vector machine
4. support vector machines
5. support vector machines (SVM)
6. Bayesian additive regression tree
7. classification and regression tree
8. instrumental variable regression
9. linear regression
10. logistic regression
11. logistic regression AraBERT
12. logistic regression model
13. meta-regression analysis
14. multilinear regression
15. Multiple Linear Regression
16. multiple regression models
17. panel smooth transition regression
18. panel smooth transition regression (PSTR)
19. partial least squares regression
20. penalized weighted regression
21. plaque regression
22. PLS regression
23. quantile regression
24. Random Parameter Linear Regression Model (RPLRM)
25. regression
26. regression analyses
27. regression analysis
28. regression based model
29. regression models
30. regression testing
31. regression tree
32. Regression tree analysis
33. ridge regression
34. spatial panel regression
35. symbolic regression
36. tobit regression model
37. wear regression
38. backward shifts of vector fields
39. cointegrated vector autoregression
40. current vector amplitude ascillation
41. current vector amplitude oscillation
42. decision vector
43. factor-augmented vector autoregressive models
44. Global vector autoregression, spillovers
45. Global vector autoregressions
46. insect vector transmission
47. machine vector control
48. magnetic vector potential
49. panel vector autoregressive model (VAR)
50. Park’s vector
51. Park's vector
52. space vector modulation
53. space vector modulation (SVM)
54. space vector pulse width modulation
55. space vector pulse width modulation (SVPWM)
56. space vector pulse-width modulation
57. structural vector autoregression
58. structural vector autoregressions
59. structural vector autoregressive (SVAR)
60. vector autoregressive process
61. vector control
62. vector error correction
63. Vector Error Correction Model
64. vector field
65. vector fields
66. vector hysteresis mode
67. vector space model
68. carbon support
69. clinical decision support
70. Clinical Decision Support Systems (CDSS)
71. decision support
72. decision support indices
73. decision support instruments
74. decision support system
75. decision support system (DSS)
76. decision support system for housing
77. decision support systems
78. decision support techniques
79. decision support tool prototyping
80. decision support tools
81. decision-making support
82. design support systems
83. Development support
84. digital decision support
85. Digital Decision Support (DDSS)
86. digital decision support system
87. Digital decision support system (DDSS)
88. disability support
89. dynamic support conditions
90. employer's support
91. financial support
92. granular support
93. grid support
94. ICT support
95. in-group support
96. innovation support
97. innovative support analysis
98. institutional support
99. intelligent decision support system
100. intelligent decision support systems
101. medical decision support system (MDSS)
102. Mesoporous carbon support
103. military support
104. non-financial support
105. planning and decision support
106. planning support system (PSS)
107. simulationbased decision support
108. social support
109. state support
110. state support of religion
111. support conditions
112. support measures
113. support network activities
114. support policy
115. support programmes
116. support system
117. sustainable catalyst support
118. yielding support

1. Microbiome Support Consortium

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