This paper is concerned with personalisation of user agents by symbolic, on-line machine learning techniques. The application of these ideas to an infotainment agent is discussed ...
Joshua J. Cole, Matt J. Gray, John W. Lloyd, Kee S...
To preserve private information while providing thorough analysis is one of the significant issues in OLAP systems. One of the challenges in it is to prevent inferring the sensitiv...
Ming Hua, Shouzhi Zhang, Wei Wang 0009, Haofeng Zh...
XCS is a flexible system for data mining due to its ability to deal with environmental changes, learn online with little prior knowledge and evolve accurate and maximally general...
Cheating in on-line games is a prevalent problem for both game makers and players. The popular real-time strategy game genre is especially vulnerable to cheats, as it is frequentl...
Chris Chambers, Wu-chang Feng, Wu-chi Feng, Debanj...
Low diversity in a genetic algorithm (GA) can cause the search to become stagnant upon reaching a local optimum. To some extent, non-stationary tasks avoid this problem, which woul...