AIMC Topic:
Neurons
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Learning feature representations with a cost-relevant sparse autoencoder.
International journal of neural systems
Feb 1, 2015
There is an increasing interest in the machine learning community to automatically learn feature representations directly from the (unlabeled) data instead of using hand-designed features. The autoencoder is one method that can be used for this purpo...
Graph degree sequence solely determines the expected hopfield network pattern stability.
Neural computation
Jan 1, 2015
We analyze the effect of network topology on the pattern stability of the Hopfield neural network in the case of general graphs. The patterns are randomly selected from a uniform distribution. We start the Hopfield procedure from some pattern v. An e...
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