In this work, we deal with blind source separation of a class of nonlinear mixtures. The proposed method can be regarded as an adaptation of the solutions developed in [1, 2] to th...
The autonomic workflow engine enables workflow to be dynamically specified and adapted using Event-Condition-Action rules. A new approach to autonomic execution of workflow process...
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Mobile databases are a centerpiece of the dramatic growth of data-centric applications for mobile computing, nomadic communication and wireless networks. Replication of database c...