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» A Wavelet Transfer Model for Time Series Forecasting
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ICML
2006
IEEE
15 years 10 months ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty
AAAI
2012
13 years 9 days ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
VIS
2009
IEEE
163views Visualization» more  VIS 2009»
15 years 11 months ago
Visual Exploration of Climate Variability Changes Using Wavelet Analysis
Due to its nonlinear nature, the climate system shows quite high natural variability on different time scales, including multiyear oscillations such as the El Ni~no Southern Oscill...
Heike Jänicke, Michael Böttinger, Uwe Mikolaje...
TGIS
2002
137views more  TGIS 2002»
14 years 9 months ago
Spatio-Temporal Object-Oriented Data Model for Disaggregate Travel Behavior
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...
AMC
2005
191views more  AMC 2005»
14 years 9 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...