Semi-supervised Gaussian process classification algorithm addressing the class imbalance
The traditional supervised learning is difficult to deal with real-world datasets with less labeled information when the training sets class is imbalanced.Therefore,a new semi-supervised Gaussian process classification of address-ing was proposed.The semi-supervised Gaussian process was realized by...
Saved in:
Main Authors: | Zhan-guo XIA, Shi-xiong XIA, Shi-yu CAI, Ling WAN |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2013-05-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.05.005/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A semi-supervised learning technique assisted multi-objective evolutionary algorithm for computationally expensive problems
by: Zijian Jiang, et al.
Published: (2025-01-01) -
A class imbalance aware hybrid model for accurate rice variety classification
by: Hanumesh Vaidya, et al.
Published: (2025-12-01) -
SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models
by: Gazi Husain, et al.
Published: (2025-01-01) -
DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection
by: Yunlong Qin, et al.
Published: (2025-01-01) -
JPEG steganalysis based on Tri-training semi-supervised learning
by: GUO Yan-qing 1, et al.
Published: (2008-01-01)