141 search results - page 2 / 29 » Learning to Transform Time Series with a Few Examples |
COMPLEX
2009
Springer
13 years 12 months ago
2009
Springer
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...