324 search results - page 25 / 65 » A new evolutionary method for time series forecasting |
LWA
2008
13 years 9 months ago
2008
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
AMC
2005
13 years 7 months ago
2005
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
BMCBI
2008
13 years 7 months ago
2008
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
AIPS
2006
13 years 9 months ago
2006
Planning is often not a one-shot task because either the world or the agent's knowledge of the world changes. In this paper, we introduce a new principle that can be used to ...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...