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 ...
Prefetching is one approach to reducing the latency of memory operations in modern computer systems. In this paper, we describe the Markov prefetcher. This prefetcher acts as an i...
Delays in the check-in system at an airport vary with times of the day, day of the week, and types of check-in modes chosen by the passengers. Extensive data collection of the che...
Simone Appelt, Rajan Batta, Li Lin, Colin G. Drury
Prediction error identification requires that data be informative with respect to the chosen model structure. Whereas sufficient conditions for informative experiments have been av...
Michel Gevers, Alexandre S. Bazanella, Ljubisa Mis...
The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed str...