Sciweavers

135 search results - page 3 / 27
» Improving Multi-Step Prediction of Learned Time Series Model...
Sort
View
IDA
2009
Springer
13 years 12 months ago
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
Francisco Martínez-Álvarez, Alicia T...
IJCNN
2007
IEEE
13 years 11 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
CEC
2009
IEEE
14 years 2 days ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
TFS
2008
123views more  TFS 2008»
13 years 5 months ago
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICML
2010
IEEE
13 years 6 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