61 search results - page 7 / 13 » Max-Margin Weight Learning for Markov Logic Networks |
ECCV
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
ICMLA
2009
13 years 5 months ago
2009
Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
AAAI
2012
11 years 10 months 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 ...
AAAI
2006
13 years 9 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
UAI
2008
13 years 9 months ago
2008
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...