Results 221 to 230 of about 252,836 (257)
Siamese meta-learning network for social disputes based on multi-head attention. [PDF]
PeerJ Comput SciWang J, Zhang R, Han H, Liu Y, Peng Z.
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cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation. [PDF]
Phys Med BiolQian X, Shao HC, Cai J, Zhang Y.
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MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
PLoS OneXu C, Yang J, Li P.
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International trade market forecasting and decision-making system: multimodal data fusion under meta-learning. [PDF]
PeerJ Comput SciBai Y, Asif M.
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Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction. [PDF]
Adv Sci (Weinh)Lian X +11 more
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Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning. [PDF]
Front Plant SciLi J, Feng Q, Yang J, Zhang J, Yang S.
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2022
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
openaire +1 more source
Swarm learning is a kind of decentralized machine learning. In this paper, we propose a new framework of decentralized collaborative learning, called swarm meta learning, by combining swarm learning with meta learning, blockchain, and federated learning.
Tian, Xiao +2 more
openaire +1 more source
Meta-learning in Reinforcement Learning
Neural Networks, 2003Meta-parameters in reinforcement learning should be tuned to the environmental dynamics and the animal performance. Here, we propose a biologically plausible meta-reinforcement learning algorithm for tuning these meta-parameters in a dynamic, adaptive manner.
Nicolas Schweighofer, Kenji Doya
exaly +3 more sources
2009
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Christophe Giraud-Carrier +3 more
openaire +1 more source
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Christophe Giraud-Carrier +3 more
openaire +1 more source