A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
We present an intuitive, fast and accurate interactive segmentation method for visualizing and analyzing 3D medical images. Our method combines a general deformable subdivision-sur...
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Abstract. The integrated logic-based modeling language, Timed Communicating Object Z (TCOZ), is well suited for presenting complete and coherent requirement models for complex real...
Jin Song Dong, Ping Hao, Shengchao Qin, Jun Sun 00...
KBS Adaptive Hyperbook is a framework designed for modeling, organizing, and maintaining distributed hypermedia resources on the Web with the purpose of supporting Web-based dista...