For many classiication tasks, the set of available task instances can be roughly divided into regular instances and exceptions. We investigate three learning algorithms that apply a diierent method of learning with respect to regularities and exceptions, viz. (i) back-propagation, (ii) cascade back-propagation (a constructive version of back-propagation), and (iii) information-gain tree (an ind...

In the field of geoinformation science, multiview, image-based 3D city modeling has developed rapidly, and image depth estimation is an important step in it. To address problems poor adaptability training models existing neural network methods long reconstruction time traditional geometric methods, we propose a general method for fast that combines prior knowledge information propagation. First...

Information propagation driven by the epidemic may cause individuals awareness to change their behavior prevent themselves from being infected, as we observed in reality that aware often migrate away infected areas. In this work, study coupled interaction of spreading and information over a two-layer metapopulation network, where unaware separately take different migration routes, mainly explor...