The Mobile Agent (MA) paradigm seems able to support effectively distributed applications in open and heterogeneous environments, and application areas such as ecommerce appear to...
Paolo Bellavista, Antonio Corradi, Rebecca Montana...
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Succinct test script with high efficiency is one of key point for automation of embedded software testing. In this paper, we integrated object technique with automated simulation ...
Recent research suggests that language evolution is a process of cultural change, in which linguistic structures are shaped through repeated cycles of learning and use by domain-g...
We present a robust and efficient algorithm for the pairwise non-rigid registration of partially overlapping 3D surfaces. Our approach treats non-rigid registration as an optimiza...
Qi-Xing Huang, Bart Adams, Martin Wicke, Leonidas ...