869 search results - page 18 / 174 » Max-Margin Markov Networks |
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
SDM
2008
SIAM
13 years 11 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
BSN
2009
IEEE
14 years 4 months ago
2009
IEEE
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
AAAI
2012
12 years 6 days ago
2012
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...