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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
13 years 11 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
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
13 years 11 months ago
Generalized linear dynamic factor models - a structure theory
— In this paper we present a structure theory for generalized linear dynamic factor models (GDFM’s). Emphasis is laid on the so-called zeroless case. GDFM’s provide a way of ...
Brian D. O. Anderson, Manfred Deistler
JMLR
2010
194views more  JMLR 2010»
12 years 11 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
13 years 3 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
CIKM
2007
Springer
13 years 11 months ago
Link analysis using time series of web graphs
Link analysis is a key technology in contemporary web search engines. Most of the previous work on link analysis only used information from one snapshot of web graph. Since commer...
Lei Yang, Lei Qi, Yan-Ping Zhao, Bin Gao, Tie-Yan ...