Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Probabilistic data have recently become popular in applications such as scientific and geospatial databases. For images and other spatial datasets, probabilistic values can capture...
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
We present a method for the automatic generation of oligonucleotide probe sets for DNA microarrays. This approach is well suited particularly for specificity evaluation of design...
A large amount of information on the Web is contained in regularly structured objects, which we call data records. Such data records are important because they often present the e...