Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
: Companies implementing an IS/IT backsourcing strategy (i.e. bringing IT functions back in-house after they have been outsourced) aiming at increasing operational effectiveness ma...
Peer-to-Peer computing is a model consisting of cooperating distributed processing units terms peers. Characteristics of this computing model include lack of centralized control an...