135 search results - page 1 / 27 » Improving Multi-Step Prediction of Learned Time Series Model... |
ICRA
2005
IEEE
13 years 10 months ago
2005
IEEE
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
ML
2000
ACM
13 years 4 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...
NPL
1998
13 years 4 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
ICANN
2009
Springer
13 years 11 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 4 months ago
2000
ACM
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...