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87
Voted
ML
2015
ACM
9 years 12 months ago
Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases
Recent years have seen a surge of interest in Statistical Relational Learning (SRL) models that combine logic with probabilities. One prominent and highly expressive SRL model is M...
Tushar Khot, Sriraam Natarajan, Kristian Kersting,...
105
Voted
ML
2015
ACM
9 years 12 months ago
Probabilistic clustering of time-evolving distance data
We present a novel probabilistic clustering model for objects that are represented via pairwise distances and observed at different time points. The proposed method utilizes the i...
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir ...
98
Voted
ML
2015
ACM
9 years 12 months ago
Bandit-based Monte-Carlo structure learning of probabilistic logic programs
Probabilistic logic programming allows to model domains with complex and uncertain relationships among entities. While the problem of learning the parameters of such programs has b...
Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi
95
Voted
ML
2015
ACM
9 years 12 months ago
Lifted graphical models: a survey
Angelika Kimmig, Lilyana Mihalkova, Lise Getoor