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» Probabilistic-Logic Models: Reasoning and Learning with Rela...
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LICS
2006
IEEE
15 years 3 months ago
Monadic Chain Logic Over Iterations and Applications to Pushdown Systems
Logical properties of iterations of relational structures are studied and these decidability results are applied to the model checking of a powerful extension of pushdown systems....
Dietrich Kuske, Markus Lohrey
ILP
2005
Springer
15 years 3 months ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley
ILP
1997
Springer
15 years 2 months ago
A Logical Framework for Graph Theoretical Decision Tree Learning
Abstract. We present a logical approach to graph theoretical learning that is based on using alphabetic substitutions for modelling graph morphisms. A classi ed graph is represente...
Peter Geibel, Fritz Wysotzki
ICML
2006
IEEE
15 years 10 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
ICML
2007
IEEE
15 years 10 months ago
Statistical predicate invention
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
Stanley Kok, Pedro Domingos