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of 3
pro vyhledávání: '"Yun, Leong Tze"'
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
Autor:
Haux R, Kulikowski CA, Bakken S, de Lusignan S, Kimura M, Koch S, Mantas J, Maojo V, Marschollek M, Martin-Sanchez F, Moen A, Park HA, Neil Sarkar I, Yun Leong T, McCray AT
Publikováno v:
Methods of information in medicine [Methods Inf Med] 2017 Jan 25; Vol. 56 (S 01), pp. e1-e10. Date of Electronic Publication: 2017 Jan 25.
