696 search results - page 6 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
ILP
2007
Springer
15 years 3 months ago
2007
Springer
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
108
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JAIR
2010
14 years 8 months ago
2010
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
ILP
2000
Springer
15 years 1 months ago
2000
Springer
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
COGSCI
2004
14 years 9 months ago
2004
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
163
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VLDB
2008
ACM
15 years 10 months ago
2008
ACM
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...