Evidence theory has been widely applied to uncertain reasoning. However, the evidence space and hypothesis space are each defined as a fixed set. If the theory is applied to solve...
Qingxiang Wu, Xi Huang, David A. Bell, Guilin Qi, ...
Distributed logic programming languages, that allow both facts and programs to be distributed among different nodes in a network, have been recently proposed and used to declarati...
Vivek Nigam, Limin Jia, Boon Thau Loo, Andre Scedr...
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
Software development is a knowledge-intensive activity and frequently implies a progressive crystallization of knowledge, towards programming language statements. Although wikis h...
Filipe Figueiredo Correia, Hugo Sereno Ferreira, N...
A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...