Many data base applications require the storage and manipulation of different versions of data objects. To satisfy the diverse needs of these applications, current database system...
A nonlinear model of inflation and growth, with a fixed rate of money growth, is developed and its global dynamics analysed. These are compared with the local, linearised dynamics...
The technique of ANOVA has been widely used in Economics and Finance where the observations are usually time-dependent but the model itself is treated as independent in time. In t...
This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
We look at the problem in belief revision of trying to make inferences about what an agent believed--or will believe--at a given moment, based on an observation of how the agent h...
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
The technology acceptance model (TAM) is one of the most widely used behavioural models in the information systems (IS) field. Researchers have used the model to study many differ...