In this paper, we propose a methodology to predict the popularity of online contents. More precisely, rather than trying to infer the popularity of a content itself, we infer the l...
Wild populations of organism are often difficult to study in their natural settings. Often, it is possible to infer mating information about these species by genotyping the offspri...
Saad I. Sheikh, Ashfaq A. Khokhar, Tanya Y. Berger...
Background: We have developed a new computational algorithm, Shape-IT, to infer haplotypes under the genetic model of coalescence with recombination developed by Stephens et al in...
In this paper we discuss Liau's logic of Belief, Inform and Trust (BIT), which captures the use of trust to infer beliefs from acquired information. However, the logic does no...
Mehdi Dastani, Andreas Herzig, Joris Hulstijn, Lee...
Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recogni...
Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ longterm properties from their r...
The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that c...
Existing shape analysis algorithms infer descriptions of data structures at program points, starting from a given precondition. We describe an analysis that does not require any pr...
Cristiano Calcagno, Dino Distefano, Peter W. O'Hea...