We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
This paper presents a theoretical and practical framework for constructing and reasoning about mobile agents. The framework is formulated as a process calculus and has two contrib...
The integration of optimization and simulation has become nearly ubiquitous in practice, as most discrete-event simulation packages now include some type of optimization routine. ...
Discrete event simulation has long been recognized as a valuable tool for manufacturers, but converting the recognition of value into an embrace of the technology can be a challen...
Using quantitative models of simple mechanisms as an example domain, we show how the basic principles of consistency-based diagnosis can be implemented using description logics wi...