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BMCBI
2008
86views more  BMCBI 2008»
13 years 7 months ago
Piecewise multivariate modelling of sequential metabolic profiling data
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
SENSYS
2010
ACM
13 years 5 months ago
AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages
We present AutoWitness, a system to deter, detect, and track personal property theft, improve historically dismal stolen property recovery rates, and disrupt stolen property distr...
Santanu Guha, Kurt Plarre, Daniel Lissner, Somnath...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
NIPS
2000
13 years 8 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 7 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen