922 search results - page 52 / 185 » Learning Gaussian Process Models from Uncertain Data |
NIPS
2008
13 years 10 months ago
2008
In this paper we propose a new incremental spike sorting model that automatically eliminates refractory period violations, accounts for action potential waveform drift, and can ha...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
DATAMINE
2006
13 years 8 months ago
2006
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
ICDE
2002
IEEE
14 years 9 months ago
2002
IEEE
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
NIPS
2008
13 years 10 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...