We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Some electronic commerce transactions are inherently performed between more than two parties. In this context, it is thus important to determine whether the underlying fair exchan...
With the proliferation of digital cameras, more consumers are faced with the problem of making color corrections to their pictures. while most picture editors allow some white poi...
Previous discretization techniques have discretized numeric attributes into disjoint intervals. We argue that this is neither necessary nor appropriate for naive-Bayes classifiers...
A framework for the dynamic aggregation of ubiquitous computers is presented. The framework aggregates applications from more than one mobile component that can migrate from compu...