Recent years have seen extensive investigation of the information aggregation properties of prediction markets. However, relatively little is known about conditions under which a ...
Krishnamurthy Iyer, Ramesh Johari, Ciamac Cyrus Mo...
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
Abstract. Even the most well-motivated models of information security have application limitations due to the inherent uncertainties involving risk. This paper exemplifies a formal...
Benjamin Johnson, Jens Grossklags, Nicolas Christi...