Sciweavers

111 search results - page 11 / 23
» Integration of multi-time-scale models in time series foreca...
Sort
View
COLING
2008
13 years 9 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
TNN
2010
174views Management» more  TNN 2010»
13 years 2 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
ICCS
2007
Springer
14 years 1 months ago
Building a Dynamic Data Driven Application System for Hurricane Forecasting
The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common compon...
Gabrielle Allen
CVPR
2007
IEEE
14 years 9 months ago
On the Blind Classification of Time Series
We propose a cord distance in the space of dynamical models that takes into account their dynamics, including transients, output maps and input distributions. In data analysis app...
Alessandro Bissacco, Stefano Soatto
ENVSOFT
2007
78views more  ENVSOFT 2007»
13 years 7 months ago
A multi-model approach to analysis of environmental phenomena
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
Orazio Giustolisi, Angelo Doglioni, D. A. Savic, B...