68 search results - page 3 / 14 » Sparse graphical modeling of piecewise-stationary time serie... |
KDD
2009
ACM
13 years 11 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
ICDM
2009
IEEE
13 years 4 months ago
2009
IEEE
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
TMI
2008
13 years 6 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
PKDD
2010
Springer
13 years 4 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
DCC
2000
IEEE
13 years 10 months ago
2000
IEEE
On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a twodimensional s...