653 search results - page 13 / 131 » The Logic of Learning |
100
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ML
2006
ACM
14 years 11 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
ICML
2005
IEEE
16 years 18 days ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
104
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ILP
1997
Springer
15 years 3 months ago
1997
Springer
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...
ACL
2009
14 years 9 months ago
2009
We consider the problem of learning context-dependent mappings from sentences to logical form. The training examples are sequences of sentences annotated with lambda-calculus mean...
110
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LPKR
1997
Springer
15 years 3 months ago
1997
Springer
We present the system LAP (Learning Abductive Programs) that is able to learn abductive logic programs from examples and from a background abductive theory. A new type of induction...