41 search results - page 4 / 9 » Summarizing Time Series: Learning Patterns in 'Volatile' Ser... |
CEC
2009
IEEE
14 years 29 days ago
2009
IEEE
— 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...
AAAI
2007
13 years 8 months ago
2007
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
BIOCOMP
2009
13 years 7 months ago
2009
Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
AMAI
1999
Springer
13 years 5 months ago
1999
Springer
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
WWW
2007
ACM
14 years 6 months ago
2007
ACM
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...