We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...
— Concurrent process-oriented programming is a natural medium for simulating complex systems, particularly systems where many simple components interact in an environment (which ...
Fiona A. C. Polack, Paul S. Andrews, Adam T. Samps...
Abstract— This paper considers the localizaton and navigation of a mobile robot. The control strategy is based on a nonlinear model predictive control technique that utilizes the...
Fernando C. Lizarralde, Eduardo V. L. Nunes, Liu H...
Abstract. We present a web-publishing platform that was developed by integrating key constructs and operations for web content delivery into the core of an object-oriented database...
Abstract. A model of granular computing (GrC) is proposed by reformulating, re-interpreting, and combining results from rough sets, quotient space theory, and belief functions. Two...