The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
A compressed full-text self-index for a text T , of size u, is a data structure used to search for patterns P, of size m, in T , that requires reduced space, i.e. space that depend...
This research investigates the problem of robust static resource allocation for distributed computing systems operating under imposed Quality of Service (QoS) constraints. Often, ...
Vladimir Shestak, Jay Smith, Anthony A. Maciejewsk...
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...