Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
There are many research efforts that focus on converting everyday environments into intelligent and computationally active environments that support and enhance the abilities of it...
This paper focuses on two problems related to QoS-aware I/O server placement in hierarchical Grid environments. Given a hierarchical network with requests from clients, the network...
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...