We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Data-centric business applications comprise an important class of distributed systems that includes on-line stores, document management systems, and patient portals. However, their...
We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics ...
Edmund J. Crampin, Patrick E. McSharry, Santiago S...
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...