E-LIB Suche - Ergebnisse für: Runger, George

1

Applied statistics and probability for engineers:

Montgomery, Douglas C. ; Runger, George C. - 5. ed., SI version . , 2011

Copies: Zentrale:E02 a mat 732 e/805(5); TB BHV: mat 645/193(5)

2

Dynamic exploration–exploitation trade-off in active learni..:

Islam, Upala Junaida ; Paynabar, Kamran ; Runger, George.
IISE Transactions. , 2024

Link: https://doi.org/10.1080/..

3

Building an intelligent system to identify trends in agricu..:

Hernández-Cruz, Xaimarie ; Villalobos, Jesus R. ; Runger, George.
Journal of Cleaner Production. 425 (2023) - p. 138956 , 2023

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

4

Evolution of COVID-19 Health Disparities in Arizona:

Shen, Felix L. ; Shu, Jingmin ; Lee, Matthew...
Journal of Immigrant and Minority Health. , 2023

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

5

Layered Market Intelligence System:

Hernández-Cruz, Xaimarie ; Villalobos, J. René ; Runger, George.
Transportation Research Procedia. 67 (2022) - p. 31-38 , 2022

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

6

Framework for Multisector Alignment Research:

Riley, William J. ; Love, Kailey ; Runger, George...
Journal of Public Health Management and Practice. 27 (2020) 5 - p. E205-E209 , 2020

Link: https://doi.org/10.1097/..

7

Rejoinder on: "On active learning methods for manifold data:

Li, Hang ; Del Castillo, Enrique ; Runger, George
TEST. 29 (2020) 1 - p. 42-49 , 2020

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

8

Dynamic incorporation of prior knowledge from multiple doma..:

Guan, Xin ; Runger, George ; Liu, Li
BMC Bioinformatics. 21 (2020) S2 - p. , 2020

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

9

On active learning methods for manifold data:

Li, Hang ; Del Castillo, Enrique ; Runger, George
TEST. 29 (2020) 1 - p. 1-33 , 2020

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

10

MTBR: Multi-Target Boosting for Regression:

Lin, Sangdi ; Azarnoush, Bahareh ; Runger, George
IEEE Transactions on Knowledge and Data Engineering. , 2019

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

11

Identifying nonlinear variation patterns with deep autoenco..:

Howard, Phillip ; Apley, Daniel W. ; Runger, George
IISE Transactions. 50 (2018) 12 - p. 1089-1103 , 2018

Link: https://doi.org/10.1080/..

12

Whole blood FPR1 mRNA expression predicts both non‐small ce..:

Morris, Scott ; Vachani, Anil ; Pass, Harvey I....
International Journal of Cancer. 142 (2018) 11 - p. 2355-2362 , 2018

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

13

Query-by-committee improvement with diversity and density i..:

Kee, Seho ; del Castillo, Enrique ; Runger, George
Information Sciences. 454-455 (2018) - p. 401-418 , 2018

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

14

Performance of next-generation sequencing on small tumor sp..:

Morris, Scott ; Subramanian, Janakiraman ; Gel, Esma...
PLOS ONE. 13 (2018) 4 - p. e0196556 , 2018

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

15

Multivariate bounded process adjustment schemes:

Govind, Nirmal ; del Castillo, Enrique ; Runger, George.
Quality Technology & Quantitative Management. 15 (2016) 2 - p. 253-273 , 2016

Link: https://doi.org/10.1080/..