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    SIGIR
    2010
    ACM
    187views Information Technology» more  SIGIR 2010»
    Effective music tagging through advanced statistical modeling
    13 years 11 months ago
    Effective music tagging through advanced statistical modeling
    Download  research.microsoft.com
    Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
    Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
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    BMCBI
    2011
    213views Artificial Intelligence» more  BMCBI 2011»
    Hierarchical graphs for rule-based modeling of biochemical systems
    13 years 2 months ago
    Hierarchical graphs for rule-based modeling of biochemical systems
    Download  www.biomedcentral.com
    Background: In rule-based modeling, graphs are used to represent molecules: a colored vertex represents a component of a molecule, a vertex attribute represents the internal state...
    Nathan W. Lemons, Bin Hu, William S. Hlavacek
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    RECSYS
    2009
    ACM
    141views Control Systems» more  RECSYS 2009»
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    14 years 2 months ago
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    Download  pages.stern.nyu.edu
    Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
    Akhmed Umyarov, Alexander Tuzhilin
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    CP
    2007
    Springer
    62views Artificial Intelligence» more  CP 2007»
    Hierarchical Hardness Models for SAT
    14 years 1 months ago
    Hierarchical Hardness Models for SAT
    Download  people.cs.ubc.ca
    Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
    Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
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