528 search results - page 8 / 106 » Causal inference using the algorithmic Markov condition |
BMCBI
2010
14 years 10 months ago
2010
Background: Detecting epistatic interactions associated with complex and common diseases can help to improve prevention, diagnosis and treatment of these diseases. With the develo...
108
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JMLR
2008
14 years 9 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
125
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
IJAR
2007
14 years 9 months ago
2007
In this article, we consider the computational aspects of deciding whether a conditional independence statement t is implied by a list of conditional independence statements L usi...