[PDF.85ub] Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)

[PDF.ac32] Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)

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 | #1827867 in Books |  2009-06-29 | Original language:English | PDF # 1 |  9.25 x.36 x7.50l,.62 | File type: PDF | 156 pages

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||9 of 9 people found the following review helpful.| Comprehensive and thorough introduction to Markov Logic|By W. Murray|I find Pedro Domingos' and his colleagues' work on MLNs fascinating for its scope, breadth, and depth of application to AI, subsuming both first-order logic and probabilistic methods such as Bayesian analysis. Applications include NLP, machine learning, entity resolution, social network analysis, and much more

Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface layer requires combining both. Markov logic is a powerful new language that ...

You easily download any file type for your gadget.Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)   |  Pedro Domingos, Daniel Lowd. Just read it with an open mind because none of us really know.

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