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» Modeling synchronized time series
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ICASSP
2011
IEEE
14 years 7 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
ICML
2008
IEEE
16 years 4 months ago
A distance model for rhythms
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Douglas Eck, Jean-François Paiement, Samy B...
FSS
2007
116views more  FSS 2007»
15 years 4 months ago
Smooth transition autoregressive models and fuzzy rule-based systems: Functional equivalence and consequences
In this work we will explore the theoretical connections existing between fuzzy rule-based systems (FRBS) applied on univariate time series and two statistical reference tools, th...
José Luis Aznarte, José Manuel Ben&i...
ER
2003
Springer
99views Database» more  ER 2003»
15 years 9 months ago
A General Model for Online Analytical Processing of Complex Data
Abstract. It has been well recognized that online analytical processing (OLAP) can provide important insights into huge archives of data. While the conventional OLAP model is capab...
Jian Pei
CIBCB
2009
IEEE
15 years 5 months ago
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
Haixin Wang, Lijun Qian, Edward R. Dougherty