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IJCNN
2007
IEEE
14 years 1 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
CSDA
2010
99views more  CSDA 2010»
13 years 7 months ago
Robust M-estimation of multivariate GARCH models
In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator...
Kris Boudt, Christophe Croux
IEAAIE
2003
Springer
14 years 21 days ago
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...
AAAI
2007
13 years 9 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
ISBI
2006
IEEE
14 years 8 months ago
Application of temporal texture features to automated analysis of protein subcellular locations in time series fluorescence micr
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
Yanhua Hu, Jesus Carmona, Robert F. Murphy