We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dal...
The paper describes a constraint-based solution to the protein folding problem on face-centered cubic lattices—a biologically meaningful approximation of the general protein fol...
There has been much progress on geometric set cover problems, but most known techniques only apply to the unweighted setting. For the weighted setting, very few results are known ...
In this paper, we describe two new ideas by which HPF compiler can deal with irregular computations e ectively. The rst mechanism invokes a user speci ed mapping procedure via a s...
Abstract. In this paper, we further develop the idea of combining pervasive computing techniques with electronic payment systems to create activity-based micro-incentives. Economic...