An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis
A high-dimensional and incomplete (HDI) matrix is a typical representation of big data. However, advanced HDI data analysis models tend to have many extra parameters. Manual tuning of these parameters, generally adopting the empirical knowledge, unavoidably leads to additional overhead. Although var...
Saved in:
Main Authors: | LI, Qing, PANG, Guansong, SHANG, Mingsheng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7212 https://ink.library.smu.edu.sg/context/sis_research/article/8215/viewcontent/s40537_022_00638_8_pvoa_cc_by.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION VIA DIFFERENTIAL EVOLUTION
by: CHONG JIN KIAT
Published: (2016) -
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction
by: Noor H. Awad, et al.
Published: (2020) -
Efficient algorithms for trajectory-aware mobile crowdsourcing
by: HAN, Chung-Kyun
Published: (2021) -
Predicting Trusts among Users of Online Communities - An Epinions Case Study
by: LIU, Haifeng, et al.
Published: (2008) -
Simulated annealing for the single-vehicle cyclic inventory routing problem
by: GUNAWAN, Aldy, et al.
Published: (2019)