Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
Context-based access control is an emerging approach for modeling adaptive solution, making access control management more flexible and powerful. But in the ubiquitous environment...
Nguyen Ngoc Diep, Le Xuan Hung, Yonil Zhung, Sungy...
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...