Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Real-time systems are growing in complexity and realtime and soft real-time applications are becoming common in general-purpose computing environments. Thus, there is a growing ne...
Scott A. Brandt, Scott A. Banachowski, Caixue Lin,...
We present a formal framework for representing enterprise knowledge. The concepts of our framework (objectives and goals, roles and actors, actions and processes, responsibilities ...
We introduce in this paper new communication and synchronization constructs which allow deterministic processes, communicating asynchronously via unbounded FIFO bu ers, to cope wi...
Abstract. Random Amplified Polymorphism DNA (RAPD) analysis is a wellknown method for studying genetic relationships between individuals. In this context, processing the underlying...
Luis Rueda, Omar Uyarte, Sofia Valenzuela, Jaime R...