Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mahammad Humayoo"'
Autor:
Naveed Ur Rehman Junejo, Qingsheng Huang, Xiaoqing Dong, Chang Wang, Adnan Zeb, Mahammad Humayoo, Gengzhong Zheng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract A variety of reasons have made it more difficult for educators and tutors to anticipate students’ performance. Numerous researchers have used various predictive models to identify students who may be at-risk of dropping out early. Addition
Externí odkaz:
https://doaj.org/article/c825f258363f48f38cd3374ec92c61a1
Autor:
Mahammad Humayoo, Xueqi Cheng
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4291 (2019)
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than t
Externí odkaz:
https://doaj.org/article/833b56ec709a403fb94ab8398fc4bf8b
Autor:
Xueqi Cheng, Mahammad Humayoo
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4291 (2019)
Applied Sciences
Volume 9
Issue 20
Applied Sciences
Volume 9
Issue 20
Regularization is a popular technique in machine learning for model estimation and for avoiding overfitting. Prior studies have found that modern ordered regularization can be more effective in handling highly correlated, high-dimensional data than t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b02ebfbc131a6d5d032315a2b4461a4
http://arxiv.org/abs/1909.01519
http://arxiv.org/abs/1909.01519
Autor:
Mahammad Humayoo, Xueqi Cheng
Publikováno v:
ICPR
Automatic selection of true explanatory variables and controlling fraction of false discovery rate (FDR) in the linear model has received considerable attention in machine learning. The ordered regularization is an important component of the linear m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6922e2eadc1b19a3fc47b009abef8e16
https://doi.org/10.1109/icpr.2018.8545752
https://doi.org/10.1109/icpr.2018.8545752
Publikováno v:
Wireless Algorithms, Systems, and Applications ISBN: 9783319077819
WASA
WASA
Many important big data applications require real-time processing of arriving data with high scalability, especially some IoT applications in where devices generate infinite data and environments are intrinsically volatile. Most of current Stream Pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::243465e36d3287c1de9e12381750cbc7
https://doi.org/10.1007/978-3-319-07782-6_6
https://doi.org/10.1007/978-3-319-07782-6_6