The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...
Abstract. Many security problems only become apparent after software is deployed, and in many cases a failure has occurred prior to the awareness of the problem. Although many woul...
Aiman Hanna, Hai Zhou Ling, Jason Furlong, Mourad ...
Knowledge workers often need to find, organize, and work with heterogeneous resources from diverse services, information stores, and repositories. This paper analyzes two problems ...
Michael J. Muller, Werner Geyer, Beth Brownholtz, ...
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...