A result from the Universal Approximation Theorem (sometimes called the Cybenko Theorem) states, loosely speaking, that a neural network with a single hidden layer and enough hidden nodes can ...

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The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...