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...
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...
Abstract A new method for power estimation in sequential circuits is presented that is based on a statistical estimation technique. By applying randomly generated input sequences t...
Optimized locally exhaustive test pattern generators based on linear sums promise a low overhead, but have an irregular structure. The paper presents a new algorithm able to compu...
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...