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Online Active Learning for Drifting Data Streams
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Sanmin
;
Xue, Shan
;
Wu, Jia
;
Zhou, Chuan
;
Yang, Jian
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/02
Labeling
Data models
Uncertainty
Biological system modeling
Computational modeling
Cognition
Adaptation models
Active learning
concept drift
data stream classification
online incremental learning
An Autonomous Developmental Cognitive Architecture Based on Incremental Associative Neural Network With Dynamic Audiovisual Fusion
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 8789-8807
作者:
Huang, Ke
;
Ma, Xin
;
Song, Rui
;
Rong, Xuewen
;
Tian, Xincheng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Cognitive development
concept online learning
self-organizing
incremental neural network
object recognition
audio-visual integration
Incremental Learning algorithm for face recognition
会议论文
2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018-01-01
作者:
Guo, Chenlong[1]
;
Huang, Simin[2]
;
Zheng, Haiyan[3]
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/04/22
Face recognition
Extreme learning machine
Incremental learning
Online update
Incremental Learning Algorithm of Least Square Twin KSVC
会议论文
2016 8th International Conference on Computer and Automation Engineering, ICCAE 2016, Melbourne, VIC, Australia, March 3, 2016 - March 4, 2016
作者:
Wang, Yaru
;
Yang, Ling
;
Chen, Mohan
;
Xi, Jikui
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2017/01/18
Learning algorithms
Algorithms
Classification (of information)
Inverse problems
Learning systems
Support vector machines
Vectors
Classification accuracy
Double counting
High dimensions
Incremental learning
Multi-class classification
Online environments
Support vector classification
Twin support vector machines
FP-ELM: An online sequential learning algorithm for dealing with concept drift
期刊论文
NEUROCOMPUTING, 2016, 卷号: 207, 页码: 322-334
作者:
Liu, Dong
;
Wu, YouXi
;
Jiang, He
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/09
Extreme learning machine
Online/incremental learning
Concept drift
Regularized optimization method
Online semi-supervised annotation via proxy-based local consistency propagation
期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 页码: 1573-1586
作者:
Huang, Lei
;
Liu, Xianglong
;
Ma, Binqiang
;
Lang, Bo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Image annotation
Label propagation
Semi-supervised learning
Incremental learning
Online learning
Online semi-supervised web video classification via heterogeneous attribute fusion
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2013, 卷号: 47, 期号: [db:dc_citation_issue], 页码: 96-101
作者:
Du, Youtian
;
Xin, Gang
;
Zheng, Qinghua
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/03
Classification accuracy
Heterogeneous attributes
Heterogeneous information
Online incremental learning
Semi- supervised learning
Semi-supervised classification
Semi-supervised learning methods
Web video
Integrated sensor online temperature compensation based on co-training and LS-SVM
期刊论文
Journal of Electronic Measurement and Instrument, 2013, 卷号: Vol.27 No.11, 页码: 1054-1059
作者:
Liu Jihua
;
Jin Min
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/05
co-training
k-nearest neighbor algorithm
support vector machine
regression
incremental learning
sensor online compensation
Incremental learning of dynamic fuzzy neural networks for accurate system modeling
期刊论文
FUZZY SETS AND SYSTEMS, 2009, 卷号: 160, 期号: 7
作者:
Deng, Xingsheng
;
Wang, Xinzhou
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
Incremental learning algorithm (ILA)
FNN-LM algorithm
Dynamic fuzzy neural network (DFNN)
Dynamic system modeling
Accurate online time series
Automatic online labeling images via co-active-learning
会议论文
作者:
Qu, Yanyun
;
Liu, Lifeng
;
Xie, Yuan
;
Yuan, Zejian
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/18
Active Learning
Automatic labeling
Image labeling
Incremental SVM
Labeled dataset
Object categories
Online labeling
Unlabeled samples
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