We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...
This paper introduced GP-Soft, a powerful new patient management system, which is designed to improve the records management for clinic, nursing home and hospital. GP-Soft is a co...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
This paper presents a framework, integrated into the X3D file format, for the streaming of 3D content in the context of remote scientific visualization; a progressive mesh compres...