The two most important models of inferencing in approximate reasoning with fuzzy sets are Zadeh's Compositional Rule of Inference (CRI) and Similarity Based Reasoning (SBR). ...
Data structure repair is a promising technique for enabling programs to execute successfully in the presence of otherwise fatal data structure corruption errors. Previous research...
In requirements elicitation, different stakeholders often hold different views of how a proposed system should behave, resulting in inconsistencies between their descriptions. Con...
Modeling molecular interactions in biological networks is important from various perspectives such as predicting side effects of drugs, explaining unusual cellular behavior and dr...
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...