We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
Amanda M. Whitbrook, Uwe Aickelin, Jonathan M. Gar...
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
We present a formal analysis of the database layout problem, i.e., the problem of determining how database objects such as tables and indexes are assigned to disk drives. Optimizin...