Using biological examples and theoretical arguments, the case is presented for extending the notion of natural selection to include internal selection in order to account for the e...
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this pape...
We present a new, simple algorithmic idea for exploiting the potential for bidirectional communication present in many modern interconnects for the collective MPI operations broadc...
Peter Sanders, Jochen Speck, Jesper Larsson Tr&aum...
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
We develop a Bayesian framework for supervised dimension reduction using a flexible nonparametric Bayesian mixture modeling approach. Our method retrieves the dimension reduction ...