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Continuous Kernel Learning

2016
Kernel learning is the problem of determining the best kernel (either from a dictionary of fixed kernels, or from a smooth space of kernel representations) for a given task. In this paper, we describe a new approach to kernel learning that establishes connections between the Fourier-analytic representation of kernels arising out of Bochner’s theorem ...
John Moeller   +4 more
openaire   +1 more source

Continuity in Learning

Childhood Education, 1955
Continuity is the relating of what goes on within the child with what goes on about him. Here is a thought-provoking presentation to help adults understand their role in raising self-selection to conscious deliberative action.
openaire   +1 more source

A continual learning survey: Defying forgetting in classification tasks

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Marc Masana   +2 more
exaly  

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

Information Fusion, 2022
Marcos F. Criado, Carlos V Regueiro
exaly  

Meta-learning synaptic plasticity and memory addressing for continual familiarity detection

Neuron, 2022
Danil Tyulmankov   +2 more
exaly  

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