Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fast plan adaptation is important in many AI-applications. From a theoretical point of view, in the worst case adapting an existing plan to solve a new problem is no more efficien...
The urban transit routing problem (UTRP) is NP-Hard and involves devising routes for public transport systems. It is a highly complex multiply constrained problem and the evaluati...
This paper describes a successful integration of the IEEE micromouse competition training programme with regular undergraduate courses at Zhejiang University City College (ZUCC), H...
In the e-age, internet and e-affairs are the composite blend of business process and technology; the organization must retain the state of computing system or risk malicious assau...