Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular fa...
Wolfgang Maass, Robert A. Legenstein, Nils Bertsch...
Our research focuses on web information management for people who want to monitor and use the World Wide Web (WWW) information, as their information resource. Web information is m...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...