The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichcation. For an abstraction of ...
In this paper, we propose a method where humanoid robot acquires meanings of grammatical connectives using direct physical feedback from human. Our system acquired 70% connectives ...
Abstract. In this paper we explore the potential of adaptive recommendation techniques in an environment where users can access a variety of services from different locations, and ...
Edoardo Pignotti, Peter Edwards, Gunnar Aastrand G...
We present a mechanism for recovering consistent data from inconsistent set of assertions. For a common family of knowledge-bases we also provide an efficient algorithm for doing ...
Abstract. In previous work, we showed the importance of distinguishing "I know that X = Y " from "I don't know that X = Y ". In this paper we look at effec...