Sequential pattern mining has raised great interest in data mining research field in recent years. However, to our best knowledge, no existing work studies the problem of frequent...
People use their awareness of others' temporal patterns to plan work activities and communication. This paper presents algorithms for programatically detecting and modeling t...
Commitments model important aspects of agent interactions, especially those arising in e-business. A small number of patterns of commitments accommodate a variety of realistic int...
In this work, we present the application of Generalized Linear Feedback Shift Registers (GLFSRs) for generation of patterns for pseudo-random memory Built-In SelfTest (BIST). Rece...
Michael Redeker, Markus Rudack, Thomas Lobbe, Dirk...
This work proposes an approach to generate weighted random patterns which can maximally excite a circuit during its burn-in testing. The approach is based on a probability model a...