Semi-Supervised Incremental Learning

被引：0

作者：

Bouchachia, Abdelhamid ^{[1
]}

Prossegger, Markus ^{[2
]}

Duman, Hakan ^{[3
]}

机构：

[1] Univ Klagenfurt, Dept Informat, Klagenfurt, Austria

[2] Carinthia Univ App Sci, Dept Telemat, Villach, Austria

[3] British Telecom Innovate, Ctr Informat Secur Syst Res, London, England

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) | 2010年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper introduces a hybrid evolving architecture for dealing with incremental learning. It consists of two components: resource allocating neural network (RAN) and growing Gaussian mixture model (GGMM). The architecture is motivated by incrementality on one hand and on the other hand by the possibility to handle unlabeled data along with the labeled one, given that the architecture is dedicated to classification problems. The empirical evaluation shows the efficiency of the proposed hybrid learning architecture.

引用

页数：6

共 50 条

[1] Semi-Supervised Class Incremental Learning
Lechat, Alexis
Herbin, Stephane
Jurie, Frederic
[J]. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 10383 - 10389
[2] Incremental semi-supervised learning on streaming data
Li, Yanchao
Wang, Yongli
Liu, Qi
Bi, Cheng
Jiang, Xiaohui
Sun, Shurong
[J]. PATTERN RECOGNITION, 2019, 88 : 383 - 396
[3] An Online Incremental Semi-Supervised Learning Method
Shen, Furao
Yu, Hui
Kamiya, Youki
Hasegawa, Osamu
[J]. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2010, 14 (06) : 593 - 605
[4] An Incremental Broad Learning Approach for Semi-Supervised Classification
Liu, Xize
Qiu, Tie
Chen, Chen
Ning, Huansheng
Chen, Ning
[J]. IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2019, : 250 - 254
[5] Incremental semi-supervised learning for intelligent seismic facies identification
He Su-Mei
Song Zhao-Hui
Zhang Meng-Ke
Yuan San-Yi
Wang Shang-Xu
[J]. Applied Geophysics, 2022, 19 : 41 - 52
[6] The incremental image classification method based on semi-supervised learning
Wu, Weiwen
Wang, Zhiyan
Liang, Peng
Xu, Xiaowei
[J]. International Journal of Digital Content Technology and its Applications, 2012, 6 (19) : 305 - 314
[7] Incremental image classification method based on semi-supervised learning
Liang, Peng
Li, Shao-Fa
Qin, Jiang-Wei
Luo, Jian-Gao
[J]. Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence, 2012, 25 (01): : 111 - 117
[8] Generalized semi-supervised class incremental learning in presence of outliers
Kalla, Jayateja
Punia, Prishruit
Dutta, Titir
Biswas, Soma
[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (05) : 13707 - 13723
[9] Incremental Semi-Supervised Learning from Streams for Object Classification
Chiotellis, Ioannis
Zimmermann, Franziska
Cremers, Daniel
Triebel, Rudolph
[J]. 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 5743 - 5749
[10] Incremental semi-supervised learning for intelligent seismic facies identification
He Su-Mei
Song Zhao-Hui
Zhang Meng-Ke
Yuan San-Yi
Wang Shang-Xu
[J]. APPLIED GEOPHYSICS, 2022, 19 (01) : 41 - 52

← 1 2 3 4 5 →