Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e. Get and download textbook Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning) for free
TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 Structure learning in Markov logic networks. (English) by Stanley Kok Format Perfect Condition Brand New Language English Markov logic networks (MLNs) [86, 24] are a powerful representation combining first-order logic and probability. An MLN attaches weights to first-order formulas and views these as templates for features of Markov networks. Learning MLN structure consists of learning both formulas and their weights. This is ac
., 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 accomplishes this by attaching weights to first-order formulas and treating them as templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its infinite-weight limit. Inference algorithms Markov Logic new edition
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Markov logic: an interface layer for artificial intelligence: Daniel Lowd, Pedro Domingos
Markov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning), ISBN-13: 9781598296921, ISBN-10: 1598296922
Markov Logic MOCLP 9781598296921 09781598296921
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Markov Logic Textbook
., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI
Inference algorithms
