Browse by Subject Gaussian process regression

Showing results 5 to 11 of 11

5
Exploration of optimal microstructure and mechanical properties in continuous microstructure space using a variational autoencoder

Kim, Yongju; Park, Hyung Keun; Jung, Jaimyun; Asghari-Rad, Peyman; Lee, Seungchul; Kim, Jin You; Jung, Hwan Gyo; et al, MATERIALS & DESIGN, v.202, 2021-04

6
Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)

Park, Jinkyoo; Lechevalier, David; Ak, Ronay; Ferguson, Max; Law, H. Kincho; Lee, Y-TT; Rachuri, Sudarsan, Smart and Sustainable Manufacturing Systems, v.1, no.1, pp.121 - 141, 2017-03

7
Gaussian Process Regression-Based Traffic Load Balancing for Multimedia Multipath Systems

Kim, Jeongseop; Park, Jinsoo; Hwang, Ganguk, IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, v.17, no.2, pp.1211 - 1223, 2020-06

8
Prediction Based Efficient Online Bandwidth Allocation Method

Kim, Jeongseop; Hwang, Ganguk, IEEE COMMUNICATIONS LETTERS, v.23, no.12, pp.2330 - 2334, 2019-12

9
Rain Attenuation Prediction Model for Terrestrial Links Using Gaussian Process Regression

Jang, Ki Joung; Yoon, Youngkeun; Kim, Junseok; Kim, Jong Ho; Hwang, Ganguk, IEEE COMMUNICATIONS LETTERS, v.25, no.11, pp.3719 - 3723, 2021-11

10
Time Series Forecasting Based Day-Ahead Energy Trading in Microgrids: Mathematical Analysis and Simulation

Jeong, Gyohun; Park, Sangdon; Hwang, Ganguk, IEEE ACCESS, v.8, pp.63885 - 63900, 2020-04

11
Variable selection using Gaussian process regression-based metrics for high-dimensional model approximation with limited data

Lee, Kyungeun; Cho, Hyunkyoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.5, pp.1439 - 1454, 2019-05

rss_1.0 rss_2.0 atom_1.0