E-LIB Suche - Ergebnisse für: Lee, Kin Hong

1

Back to Basics: Non-Mesh Multi-Hop Wi-Fi Backhaul on Smart ..:

, In: TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON),

Yin, Hoover H. F. ; Lee, Kin Hong ; Chau, Oscar M. H... - p. 1-6 , 2022

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

2

A hybridized genetic parallel programming based logic circu..:

, In: Proceedings of the 8th annual conference on Genetic and evolutionary computation,

Lau, Wai Shing ; Lee, Kin Hong ; Leung, Kwong Sak - p. 839-846 , 2006

Link: https://dl.acm.org/doi/1..

3

Genetic Parallel Programming: Design and Implementation:

Cheang, Sin Man ; Leung, Kwong Sak ; Lee, Kin Hong
Evolutionary Computation. 14 (2006) 2 - p. 129-156 , 2006

Link: https://doi.org/10.1162/..

4

Text segmentation for Chinese spell checking:

Lee, Kin Hong ; Ng, Mau Kit Michael ; Lu, Qin
Journal of the American Society for Information Science. 50 (1999) 9 - p. 751-759 , 1999

Link: https://doi.org/10.1002/..

5

Inferring Time-Delayed Causal Gene Network Using Time-Serie..:

Lo, Leung-Yau ; Leung, Kwong-Sak ; Lee, Kin-Hong
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12 (2015) 5 - p. 1169-1182 , 2015

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

6

Inferring Time-Delayed Causal Gene Network Using Time-Serie..:

Lo, Leung-Yau ; Leung, Kwong-Sak ; Lee, Kin-Hong
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). 12 (2015) 5 - p. 1169-1182 , 2015

Link: https://dl.acm.org/doi/1..

7

Time Delayed Causal Gene Regulatory Network Inference with ..:

Lo, Leung-Yau ; Wong, Man-Leung ; Lee, Kin-Hong..
PLOS ONE. 10 (2015) 9 - p. e0138596 , 2015

Link: https://doi.org/10.1371/..

8

High-order dynamic Bayesian Network learning with hidden co..:

Lo, Leung-Yau ; Wong, Man-Leung ; Lee, Kin-Hong.
BMC Bioinformatics. 16 (2015) 1 - p. , 2015

Link: https://doi.org/10.1186/..

9

Subtypes of associated protein–DNA (Transcription Factor-Tr..:

Chan, Tak-Ming ; Leung, Kwong-Sak ; Lee, Kin-Hong...
Nucleic Acids Research. 40 (2012) 19 - p. 9392-9403 , 2012

Link: https://doi.org/10.1093/..

10

Discovering approximate-associated sequence patterns for pr..:

Chan, Tak-Ming ; Wong, Ka-Chun ; Lee, Kin-Hong...
Bioinformatics. 27 (2010) 4 - p. 471-478 , 2010

Link: https://doi.org/10.1093/..

11

A Cluster Refinement Algorithm for Motif Discovery:

Li, Gang ; Chan, Tak-Ming ; Leung, Kwong-Sak.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). 7 (2010) 4 - p. 654-668 , 2010

Link: https://dl.acm.org/doi/1..

12

Discovering protein–DNA binding sequence patterns using ass..:

Leung, Kwong-Sak ; Wong, Ka-Chun ; Chan, Tak-Ming...
Nucleic Acids Research. 38 (2010) 19 - p. 6324-6337 , 2010

Link: https://doi.org/10.1093/..

13

Challenges rising from learning motif evaluation functions ..:

, In: Proceedings of the 12th annual conference on Genetic and evolutionary computation,

Lo, Leung-Yau ; Chan, Tak-Ming ; Lee, Kin-Hong. - p. 171-178 , 2010

Link: https://dl.acm.org/doi/1..

14

Discovering multiple realistic TFBS motifs based on a gener..:

Chan, Tak-Ming ; Li, Gang ; Leung, Kwong-Sak.
BMC Bioinformatics. 10 (2009) 1 - p. , 2009

Link: https://doi.org/10.1186/..

15

Lower integrals and upper integrals with respect to nonaddi..:

Wang, Zhenyuan ; Li, Wenye ; Lee, Kin-Hong.
Fuzzy Sets and Systems. 159 (2008) 6 - p. 646-660 , 2008

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