We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Abstract. In this work we present a security model for low-value transactions in ad-hoc networks in which we focus on authentication since this is the core requirement for commerci...
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Workflow is the key technology for business process automation, while distributed workflow is the solution to deal with the decentralized nature of workflow applications and the pe...