16 search results - page 2 / 4 » Exploiting Causal Independence Using Weighted Model Counting |
JMLR
2011
12 years 11 months ago
2011
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
ICDM
2009
IEEE
13 years 2 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...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
We describe a technique to simultaneously estimate a weighted, positive-definite multi-tensor fiber model and perform tractography. Existing techniques estimate the local fiber ori...
NIPS
1997
13 years 6 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
APLAS
2007
ACM
13 years 8 months ago
2007
ACM
Abstract. Given the combinatorial nature of cellular signalling pathways, where biological agents can bind and modify each other in a large number of ways, concurrent or agent-base...