45 search results - page 2 / 9 » Adaptive Ensemble Models of Extreme Learning Machines for Ti... |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
MLDM
2009
Springer
14 years 1 months ago
2009
Springer
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
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...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...