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of 6
pro vyhledávání: '"Ambastha, Abhinit Kumar"'
This work presents an incremental learning approach for autonomous agents to learn new tasks in a non-stationary environment. Updating a DNN model-based agent to learn new target tasks requires us to store past training data and needs a large labeled
Externí odkaz:
http://arxiv.org/abs/2301.12055
This work presents an approach for incrementally updating deep neural network (DNN) models in a non-stationary environment. DNN models are sensitive to changes in input data distribution, which limits their application to problem settings with statio
Externí odkaz:
http://arxiv.org/abs/2301.12054
Publikováno v:
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR); 2015, p386-390, 5p
Autor:
Sut, Bolan, Dinh, Thien Anh, Ambastha, Abhinit Kumar, Gong, Tianxia, Silander, Tomi, Lu, Shijian, Lim, C.C. Tchoyoson, Pang, Boon Chuan, Lee, Cheng Kiang, Leong, Tze-Yun, Tan, Chew Lim
Publikováno v:
2014 22nd International Conference on Pattern Recognition; 2014, p3245-3250, 6p
Publikováno v:
Medinfo; 2017, p1249-1249, 1p
Autor:
Ambastha AK; Medical Computing Laboratory, School of Computing, National University of Singapore, Singapore., Leong TY; Medical Computing Laboratory, School of Computing, National University of Singapore, Singapore.
Publikováno v:
Studies in health technology and informatics [Stud Health Technol Inform] 2017; Vol. 245, pp. 1249.