We describe a primal-dual framework for the design and analysis of online strongly convex optimization algorithms. Our framework yields the tightest known logarithmic regret bound...
The paper describes a further development of the design of a motivational visualization encouraging participation in an online community. The new design overcomes shortcomings in p...
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Enhancing e-commerce security through computing technology alone is not sufficient. E-commerce designers should apply economic mechanisms to design proper digital processes that a...
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...