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» Knowledge Representation with Logic Programs
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ILP
2007
Springer
14 years 1 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...
AAAI
2007
13 years 10 months ago
Real Arguments Are Approximate Arguments
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting a...
Anthony Hunter
LREC
2010
225views Education» more  LREC 2010»
13 years 9 months ago
The Architecture of FunGramKB
Natural language understanding systems require a knowledge base provided with conceptual representations reflecting the structure of human beings' cognitive system. Although ...
Carlos Periñán-Pascual, Francisco Ar...
ICML
2005
IEEE
14 years 8 months ago
Learning the structure of Markov logic networks
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...
Stanley Kok, Pedro Domingos
CORR
2010
Springer
174views Education» more  CORR 2010»
13 years 7 months ago
Cut Elimination for a Logic with Induction and Co-induction
Proof search has been used to specify a wide range of computation systems. In order to build a framework for reasoning about such specifications, we make use of a sequent calculus...
Alwen Tiu, Alberto Momigliano