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    CORR
    2011
    Springer
    177views Education» more  CORR 2011»
    Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
    13 years 1 days ago
    Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
    Download  www.vldb.org
    Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
    Feng Niu, Christopher Ré, AnHai Doan, Jude ...
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    ICMLA
    2009
    167views Machine Learning» more  ICMLA 2009»
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
    13 years 2 months ago
    Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
    Download  ftp.cs.wisc.edu
    Languages that combine predicate logic with probabilities are needed to succinctly represent knowledge in many real-world domains. We consider a formalism based on universally qua...
    Sriraam Natarajan, Prasad Tadepalli, Gautam Kunapu...
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    IJCAI
    2007
    148views Artificial Intelligence» more  IJCAI 2007»
    Recursive Random Fields
    13 years 6 months ago
    Recursive Random Fields
    Download  www.cs.washington.edu
    A formula in first-order logic can be viewed as a tree, with a logical connective at each node, and a knowledge base can be viewed as a tree whose root is a conjunction. Markov l...
    Daniel Lowd, Pedro Domingos
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    ECAI
    2008
    Springer
    160views Artificial Intelligence» more  ECAI 2008»
    Structure Learning of Markov Logic Networks through Iterated Local Search
    13 years 6 months ago
    Structure Learning of Markov Logic Networks through Iterated Local Search
    Download  www.di.uniba.it
    Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...
    Marenglen Biba, Stefano Ferilli, Floriana Esposito
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    FLAIRS
    2008
    157views Artificial Intelligence» more  FLAIRS 2008»
    Toward Markov Logic with Conditional Probabilities
    13 years 7 months ago
    Toward Markov Logic with Conditional Probabilities
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    Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
    Jens Fisseler
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    AAAI
    2008
    165views Intelligent Agents» more  AAAI 2008»
    Hybrid Markov Logic Networks
    13 years 7 months ago
    Hybrid Markov Logic Networks
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    Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
    Jue Wang, Pedro Domingos
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    KDD
    2010
    ACM
    293views Data Mining» more  KDD 2010»
    BioSnowball: automated population of Wikis
    13 years 8 months ago
    BioSnowball: automated population of Wikis
    Download  research.microsoft.com
    Internet users regularly have the need to find biographies and facts of people of interest. Wikipedia has become the first stop for celebrity biographies and facts. However, Wik...
    Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong We...
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    WWW
    2009
    ACM
    209views Internet Technology» more  WWW 2009»
    Incorporating site-level knowledge to extract structured data from web forums
    14 years 5 months ago
    Incorporating site-level knowledge to extract structured data from web forums
    Download  www2009.eprints.org
    Web forums have become an important data resource for many web applications, but extracting structured data from unstructured web forum pages is still a challenging task due to bo...
    Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei ...
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    ICML
    2005
    IEEE
    102views Machine Learning» more  ICML 2005»
    Learning the structure of Markov logic networks
    14 years 5 months ago
    Learning the structure of Markov logic networks
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    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
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    ICML
    2008
    IEEE
    241views Machine Learning» more  ICML 2008»
    Discriminative structure and parameter learning for Markov logic networks
    14 years 5 months ago
    Discriminative structure and parameter learning for Markov logic networks
    Download  www.cs.utexas.edu
    Tuyen N. Huynh, Raymond J. Mooney
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