Heart disease continues to be leading cause of morbidity and mortality among adults all over the world. Cardiac risk factor assessment requires a classification system that is rob...
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
The efficiency of data analysis of 3-d measurement data such as medical images can be enhanced if the expert user is enabled to incorporate his knowledge into the analysis process ...
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...
SAT is probably one of the most-studied constraint satisfaction problems. In this paper, a new hybrid technique based on local search is introduced in order to approximate and ext...