This paper studies connectivity maintenance in robotic networks. We propose a distributed coordination algorithm that can be combined with the individual motion control strategies ...
En-route data compression is fundamental to reduce the power consumed for data gathering in sensor networks. Typical in-network compression schemes involve the distributed computat...
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
This paper analyzes the performability of client-server applications that use a separate fault management architecture for monitoring and controlling of the status of the applicat...
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...