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    IADIS
    2008
    177views Internet Technology» more  IADIS 2008»
    Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
    14 years 11 months ago
    Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
    Download  www.iadis.net
    Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
    Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu
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    AAAI
    1998
    127views Intelligent Agents» more  AAAI 1998»
    A Feature-Based Learning Method for Theorem Proving
    14 years 10 months ago
    A Feature-Based Learning Method for Theorem Proving
    Download  www.aaai.org
    Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
    Matthias Fuchs
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    LREC
    2008
    138views Education» more  LREC 2008»
    Language Resources for Semantic Document Annotation and Crosslingual Retrieval
    14 years 11 months ago
    Language Resources for Semantic Document Annotation and Crosslingual Retrieval
    Download  www.lrec-conf.org
    This paper describes the interaction among language resources for an adequate concept annotation of domain texts in several languages. The architecture includes domain ontology, d...
    Petya Osenova, Kiril Ivanov Simov, Eelco Mossel
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    SARA
    2009
    Springer
    231views Artificial Intelligence» more  SARA 2009»
    Efficient SAT Techniques for Absolute Encoding of Permutation Problems: Application to Hamiltonian Cycles
    15 years 4 months ago
    Efficient SAT Techniques for Absolute Encoding of Permutation Problems: Application to Hamiltonian Cycles
    Download  webdocs.cs.ualberta.ca
    We study novel approaches for solving of hard combinatorial problems by translation to Boolean Satisfiability (SAT). Our focus is on combinatorial problems that can be represented...
    Miroslav N. Velev, Ping Gao 0002
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    LREC
    2008
    139views Education» more  LREC 2008»
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    14 years 11 months ago
    Identification of Comparable Argument-Head Relations in Parallel Corpora
    Download  www.ling.uni-potsdam.de
    We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
    Kathrin Spreyer, Jonas Kuhn, Bettina Schrader
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