One of the most efficient analysis technique is to reduce an original model into a simpler one such that the reduced model has the same properties than the original one. G. Berthel...
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
Abstract— We present a machine learning approach for trajectory inverse kinematics: given a trajectory in workspace, to find a feasible trajectory in angle space. The method lea...
Motivation – Designers make decisions that later influence how users work with the systems that they have designed. When errors occur in use, it is tempting to focus on the acti...
This paper studies new spike-based models for winner-take-all computation and coincidence detection. In both cases, very fast convergence is achieved independent of initial condit...