Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
An important shortcoming in the Business Process Redesign (BPR) literature is the lack of concrete guidance on how to improve an existing business process. Our earlier work has aim...
Monique H. Jansen-Vullers, Mariska Netjes, Hajo A....
When dealing with complex business processes (e.g., in the context of a workflow implementation or the configuration of some process-aware information system), it is important but ...
Moe Thandar Wynn, Wil M. P. van der Aalst, Arthur ...
The role of ontologies in knowledge base systems is gradually increasing. Along with the growth of Internet based applications and ecommerce, the need for easy interoperability bet...
This paper presents a forgetting factor scheme for variable step-size affine projection algorithms (APA). The proposed scheme uses a forgetting processed input matrix as the projec...