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A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
Modeling non-stationary data is a challenging problem in the field of continual learning, and data distribution shifts may result in negative consequences on the performance of a machine learning model.
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
Since the reservoir is fixed during the training procedure, we may wonder if the computational power of the recurrent structure is fully harnessed.
A Tutorial about Random Neural Networks in Supervised Learning
Random Neural Networks (RNNs) are a class of Neural Networks (NNs) that can also be seen as a specific type of queuing network.
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