45 search results - page 1 / 9 » Adaptive Ensemble Models of Extreme Learning Machines for Ti... |
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
ML
2000
ACM
13 years 6 months ago
2000
ACM
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
IJCNN
2007
IEEE
14 years 27 days ago
2007
IEEE
— 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...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
DMIN
2008
13 years 8 months ago
2008
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...