528 search results - page 52 / 106 » Causal inference using the algorithmic Markov condition |
AIIA
2003
Springer
15 years 3 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
JMLR
2010
14 years 4 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
AAAI
2011
13 years 10 months ago
2011
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
101
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ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. We present a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other related state of the art tech...
AIPS
1996
14 years 11 months ago
1996
Weshowthat by inferring parametexdomainsof planningoperators,given the definitions of the operators and the initial and goal conditions, we can often speed up the planning process...