Markov Logic Networks, a combination of First Order Logic and Markov Networks, is a new graphical model which will be very important for AI modeling in the future. Prof. Pedro Domingos at Univ. of Washington is a pioneer in this field. There are some major references given by him:
1) New book "Markov Logic - An Interface Layer for AI".
Another editorial book: "Integrating Logic and Statistics: Novel Algorithms in Markov Logic Networks" by Marenglen Biba
2) The course about Markov Logic Networks given by Prof. Pedro Domingos at Univ. of Washington.
3) The article "What's missing in AI - The Interface Layer".
4) Alchemy - Open source AI: http://alchemy.cs.washington.edu/
I wonder whether some NLP problems can benefit from such a new model.
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Cheers,
Vu
1) New book "Markov Logic - An Interface Layer for AI".
Another editorial book: "Integrating Logic and Statistics: Novel Algorithms in Markov Logic Networks" by Marenglen Biba
2) The course about Markov Logic Networks given by Prof. Pedro Domingos at Univ. of Washington.
3) The article "What's missing in AI - The Interface Layer".
4) Alchemy - Open source AI: http://alchemy.cs.washington.edu/
I wonder whether some NLP problems can benefit from such a new model.
--
Cheers,
Vu
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