Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Future large-scale sensor networks may comprise thousands of wirelessly connected sensor nodes that could provide an unimaginable opportunity to interact with physical phenomena i...
The Real-Time Environmental Information Network and Analysis System (REINAS) is a distributed system supporting the conduct of regional environmental science research at the desk ...
Darrell D. E. Long, Patrick E. Mantey, Craig M. Wi...
Background: Cellular processes require the interaction of many proteins across several cellular compartments. Determining the collective network of such interactions is an importa...
Harold J. Drabkin, Christopher Hollenbeck, David P...