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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 4 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
ICASSP
2009
IEEE
13 years 7 months ago
Modelling the neurovascular habituation effect on fMRI time series
In this paper, a novel non-stationary model of functional Magnetic Resonance Imaging (fMRI) time series is proposed. It allows us to account for some putative habituation effect a...
Philippe Ciuciu, Stéphane Sockeel, Thomas V...
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 3 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
CCS
2006
ACM
14 years 1 months ago
Time series modeling for IDS alert management
Intrusion detection systems create large amounts of alerts. Significant part of these alerts can be seen as background noise of an operational information system, and its quantity...
Jouni Viinikka, Hervé Debar, Ludovic M&eacu...
APIN
2008
305views more  APIN 2008»
13 years 9 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao