Abstract. Restricting the power of the schedulers that resolve the nondeterminism in probabilistic concurrent systems has recently drawn the attention of the research community. Th...
In this article a formal model applying REST architectural principles to the description of semantic web services is introduced, including the discussion of its syntax and operati...
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
We present Promodes, an algorithm for unsupervised word decomposition, which is based on a probabilistic generative model. The model considers segment boundaries as hidden variable...
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...