We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
We introduce the Upgrading Shortest Paths Problem, a new combinatorial problem for improving network connectivity with a wide range of applications from multicast communication to ...
Bistra N. Dilkina, Katherine J. Lai, Carla P. Gome...
Database workloads seldom remain static. A system tuned by an expert for the current environment, might not always remain optimal. To deal with this situation, database systems ha...
Christian A. Lang, Bishwaranjan Bhattacharjee, Tim...
We extend the binary search technique to searching in trees. We consider two models of queries: questions about vertices and questions about edges. We present a general approach t...