Although the energy required to perform a logic operation has continuously dropped at least by ten orders of magnitude since early vacuumtube electronics [1], the increasing clock ...
Understanding flow in the three-dimensional phase space is challenging both to human experts and to current computer science technology. To break through the barrier, we are build...
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
We study the problem of integrating scattered online opinions. For this purpose, we propose to exploit structured ontology to obtain well-formed relevant aspects to a topic and us...
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...