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» Modeling synchronized time series
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TNN
2008
86views more  TNN 2008»
13 years 9 months ago
Trend Time-Series Modeling and Forecasting With Neural Networks
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
Min Qi, G. Peter Zhang
ICMLA
2008
13 years 11 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ICML
2010
IEEE
13 years 10 months ago
Dynamical Products of Experts for Modeling Financial Time Series
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...
Yutian Chen, Max Welling
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 3 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
COLING
2008
13 years 11 months ago
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech
This paper describes an incremental approach to parsing transcribed spontaneous speech containing disfluencies with a Hierarchical Hidden Markov Model (HHMM). This model makes use...
Tim Miller, William Schuler