A flexible neural network (FNN) is a multilayer feedforward neural network with the characteristics of: (1) overlayer connections; (2) variable activation functions for different...
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Wireless network research still lacks methods to integratively evaluate the performance that can be expected from application layer protocols. The user behavior is predominantly a...
Tobias Breyer, Michael Klein, Philipp Obreiter, Bi...
Abstract We propose a novel testing technique for object-oriented programs. Based on the state and activity models of a system, we construct an intermediate representation, which w...
We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...