The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Abstract--We present a new scheme to reduce the end-toend routing delay in the mission-critical applications of the wireless sensor networks (WSNs) under the duty cycle model. Whil...
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
Nowadays a placement problem often involves multi-million objects and excessive fixed blockages. We present a new global placement algorithm that scales well to the modern large-s...
Quick and efficient response to emergency is important for every city. This depends on the quality of the dispatch of emergency service to the scene and back to hospital or other ...