367 search results - page 59 / 74 » Robust Induction of Process Models from Time-Series Data |
SIGMOD
2006
ACM
14 years 8 months ago
2006
ACM
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
IJIT
2004
13 years 10 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
BMCBI
2010
13 years 8 months ago
2010
Background: The importance of stochasticity in cellular processes having low number of molecules has resulted in the development of stochastic models such as chemical master equat...
ISBI
2011
IEEE
13 years 6 days ago
2011
IEEE
Segmenting brain from non-brain tissue within magnetic resonance (MR) images of the human head, also known as skull-stripping, is a critical processing step in the analysis of neu...
IDA
2009
Springer
13 years 6 months ago
2009
Springer
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...