Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model — Wing W. Y. Ng (2021) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model
Shared by
Witold Pedrycz
University of Alberta
Maximizing minority accuracy for imbalanced pattern classification problems using cost-sensitive Localized Generalization Error Model
Article
2021
en
Authors
+1 more
WN
Wing W. Y. Ng
ZL
Zhengxi Liu
JZ
Jianjun Zhang
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2022
Perturbation-based oversampling technique for imbalanced classification problems
Jianjun Zhang
,
Ting Wang
,
Wing W. Y. Ng
,
Witold Pedrycz
Article
2018
Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification
Wing W. Y. Ng
,
Jianjun Zhang
,
Chun Sing Lai
,
Witold Pedrycz
,
Loi Lei Lai
,
Xizhao Wang
Article
2006
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error
Wing W. Y. Ng
,
Andrés Dorado
,
Daniel Yeung
,
Witold Pedrycz
,
Ebroul Izquierdo
Article
2008
Pessimistic cost-sensitive active learning of decision trees for profit maximizing targeting campaigns
Lior Rokach
,
Lihi Naamani
,
Armin Shmilovici
Data Mining and Knowledge Discovery
Article
2021
Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model
Yufeng Qian
,
Mahdi Aghaabbasi
,
Mujahid Ali
,
Muwaffaq Alqurashi
,
Bashir Salah
,
Rosilawati Zainol
,
Mehdi Moeinaddini
,
Enas E. Hussein
Discussion(0)
No comments yet. Be the first to comment.