We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Discovering and studying emergent phenomena are among the most important activities in social research. Replicating this phenomenon in "the lab" using simulation is an i...
This paper describes a technique for calculating the switching activity of a set of registers shared by dierent data values. Based on the assumption that the joint pdf (probabili...
In order to cope efficiently with simple or complex queries as well as different application requirements (e.g., ad-hoc versus repetitive queries), a query optimizer ought to supp...