In recent years autoencoder based collaborative filtering for recommender systems have shown promise. In the past, several variants of the basic autoencoder based approach has been proposed - ...

The Autoencoder.py file implements the Autoencoder class in torch. The training.py file performs the training over the entire training dataset. The testing.py file gets a random sample from the ...

We propose a method that uses kernel method-based algorithms to implement an autoencoder. Deep learning-based algorithms have two characteristics, one is the high level data abstraction, the other is ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier.