Several recent publications have exhibited relationships between the theories of logic programming and of neural networks. We consider a general approach to representing normal lo...
Work on early tiny database systems, like TinyDB [17] and Cougar [23] has shown that a declarative approach can provide a powerful and easy to use interface for collecting data fr...
Michael J. Franklin, Joseph M. Hellerstein, Samuel...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Most of ...
—Principal component based anomaly detection has emerged as an important statistical tool for network anomaly detection. It works by projecting summary network information onto a...