Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
This paper describes a service-oriented P2P architecture and related federated metaprogramming model to support development of highly scalable and reliable distributed collaborati...
Several approaches have been made to establish a generic middleware for tangible user interfaces (TUI). They target toward the independence of application domains as well as flexi...