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We offer an incremental learning account of these findings.
We propose an incremental learning algorithm based on Gaussian Processes for learning to reshape dynamical systems using this representation.
In combination with an incremental learning approach such as incremental Gaussian process regression, we obtain a model approximation method which is applicable in real-time online learning.
Increase of huge amount of data in every application demands an incremental learning technique for data analysis.
This paper concerns how to apply an incremental learning algorithm based on data streams to detect high impedance faults in power distribution systems.
This paper presents an incremental learning algorithm for the hybrid RBF-BP (ILRBF-BP) network classifier.
The article [13] proposed an incremental learning approach for document image with zone classification.
In the proposed incremental learning algorithm, using a potential function approach to construct RBF hidden neurons incrementally has to complete the effective coverage of the training sample space.
Instances of EDAs include population based incremental learning (PBIL) algorithm.
Moreover, this paper distinguishes three kinds of incremental learning tasks.
The training combines two pleasures largely lacking in adult life: structured incremental learning and make-believe.
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