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 ...
Nowadays interactive electronics products offer a huge functionality to prospective customers, but often it is too huge and complex to be grasped and used successfully. In this ca...
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
The importance of product information management during the whole lifetime of the product has increased due to the technical sophistication of products as well as stricter governm...
In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize custom...