Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
ed abstract Purpose: The purpose of this paper is to present a multi-faceted summary and classification of the existing literature in the field of quality of service for egovernmen...
We conducted a field-based study at a large teaching hospital to examine doctors' use and documentation of patient care information, with a special focus on a patient's ...
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...