This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
We present a computational model of amygdala neural networks. It is used to simulate neuronal activation in amygdala nuclei at different stages of aversive conditioning experiments...
This paper analyses the collaborative design of a high-technology product, a neuromagnetometer used in the analysis of the activity of the human cortex. The producer, Neuromag Com...
This paper describes the start-up phase of the ALAN-K (Advanced LeArning Network in Kyoto) project, which is part of a major effort to create new learning environments for element...
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...