Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
Abstract— In this paper, we present a weighted Linde-BuzoGray algorithm (WLBG) as a powerful and efficient technique for compressing neural spike data. We compare this technique...
We present POSEIDON, a new anomaly-based network intrusion detection system. POSEIDON is payload-based, and has a two-tier architecture: the first stage consists of a Self-Organi...
Damiano Bolzoni, Sandro Etalle, Pieter H. Hartel, ...
In this paper, a new method for the determination of missing values in temporal databases is presented. This new method is based on two projection methods: a nonlinear one (Self-Or...
Antti Sorjamaa, Paul Merlin, Bertrand Maillet, Ama...