E-LIB Suche - Ergebnisse für: Zhu, Houying

1

COMBSS: best subset selection via continuous optimization:

Moka, Sarat ; Liquet, Benoit ; Zhu, Houying.
Statistics and Computing. 34 (2024) 2 - p. , 2024

Link: https://doi.org/10.1007/..

2

Discrete Element Simple Shear Test Considering Particle Sha..:

Zhu, Houying ; Li, Xuefeng ; Lv, Longlong.
Applied Sciences. 13 (2023) 20 - p. 11382 , 2023

Link: https://doi.org/10.3390/..

3

Dilatancy Equation Based on the Property-Dependent Plastic ..:

Li, Xuefeng ; Zhu, Houying ; Yuan, Qi
Fractal and Fractional. 7 (2023) 11 - p. 824 , 2023

Link: https://doi.org/10.3390/..

4

Adaptive Importance Sampling and Quasi-Monte Carlo Methods ..:

, In: ICC 2023 - IEEE International Conference on Communications,

Ke, Xiongwen ; Zhu, Houying ; Yi, Kai... - p. 5272-5278 , 2023

Link: https://doi.org/10.1109/..

5

Surface Defect Detection with Modified Real-Time Detector Y..:

Wang, Zhihui ; Zhu, Houying ; Jia, Xianqing...
Journal of Sensors. 2022 (2022) - p. 1-10 , 2022

Link: https://doi.org/10.1155/..

6

A weighted discrepancy bound of quasi-Monte Carlo importanc..:

Dick, Josef ; Rudolf, Daniel ; Zhu, Houying
Statistics & Probability Letters. 149 (2019) - p. 100-106 , 2019

Link: https://doi.org/10.1016/..

7

DISCREPANCY BOUNDS FOR UNIFORMLY ERGODIC MARKOV CHAIN QUASI..:

Dick, Josef ; Rudolf, Daniel ; Zhu, Houying
The Annals of Applied Probability. 26 (2016) 5 - p. 3178-3205 , 2016

Link: http://www.jstor.org/sta..

8

An iterative learning algorithm for feedforward neural netw..:

Cao, Feilong ; Wang, Dianhui ; Zhu, Houying.
Information Sciences. 328 (2016) - p. 546-557 , 2016

Link: https://doi.org/10.1016/..

9

A discrepancy bound for deterministic acceptance-rejection ..:

Zhu, Houying ; Dick, Josef
Statistics and Computing. 27 (2016) 4 - p. 901-911 , 2016

Link: https://doi.org/10.1007/..

10

Software reliability modeling with removed errors and compo..:

Yuan, Yubo ; Zhu, Houying ; Liu, Bo.
Mathematical and Computer Modelling. 55 (2012) 3-4 - p. 697-709 , 2012

Link: https://doi.org/10.1016/..

11

A modified extreme learning machine with sigmoidal activati..:

Chen, Zhixiang X. ; Zhu, Houying Y. ; Wang, Yuguang G.
Neural Computing and Applications. 22 (2012) 3-4 - p. 541-550 , 2012

Link: https://doi.org/10.1007/..

12

COMBSS:best subset selection via continuous optimization:

Moka, Sarat ; Liquet, Benoit ; Zhu, Houying.
Moka , S , Liquet , B , Zhu , H & Muller , S 2024 , ' COMBSS : best subset selection via continuous optimization ' , Statistics and Computing , vol. 34 , no. 2 , 75 , pp. 1-22 . https://doi.org/10.1007/s11222-024-10387-8. , 2024

Link: https://researchers.mq.e..

13

Adaptive Importance Sampling and Quasi-Monte Carlo Methods ..:

Ke, Xiongwen ; Zhu, Houying ; Yi, Kai...
http://arxiv.org/abs/2303.03575. , 2023

Link: http://arxiv.org/abs/230..

14

Surface defect detection with modified real-time detector Y..:

Wang, Zhihui ; Zhu, Houying ; Jia, Xianqing..
Wang , Z , Zhu , H , Jia , X , Bao , Y & Wang , C 2022 , ' Surface defect detection with modified real-time detector YOLOv3 ' , Journal of Sensors , vol. 2022 , 8668149 , pp. 1-10 . https://doi.org/10.1155/2022/8668149. , 2022

Link: https://researchers.mq.e..

15

COMBSS: Best Subset Selection via Continuous Optimization:

Moka, Sarat ; Liquet, Benoit ; Zhu, Houying.
http://arxiv.org/abs/2205.02617. , 2022

Link: http://arxiv.org/abs/220..