This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
The number of computational trust models has been increasing rapidly in recent years, yet their applications for automating trust evaluation are still limited. The main obstacle i...
The establishment of a computational framework of roles contributes effectively to the management of instance models because it provides us with a useful policy for treatment of vi...
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
An important requirement of model transformations is the preservation of the behavior of the original model. A model transformation is semantically correct if for each simulation r...