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    ISCA
    2012
    IEEE
    243views Hardware» more  ISCA 2012»
    Lane decoupling for improving the timing-error resiliency of wide-SIMD architectures
    11 years 9 months ago
    Lane decoupling for improving the timing-error resiliency of wide-SIMD architectures
    Download  lph.ece.utexas.edu
    A significant portion of the energy dissipated in modern integrated circuits is consumed by the overhead associated with timing guardbands that ensure reliable execution. Timing ...
    Evgeni Krimer, Patrick Chiang, Mattan Erez
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    ACL
    2012
    267views Computational Linguistics» more  ACL 2012»
    You Had Me at Hello: How Phrasing Affects Memorability
    11 years 9 months ago
    You Had Me at Hello: How Phrasing Affects Memorability
    Download  www.cs.cornell.edu
    Understanding the ways in which information achieves widespread public awareness is a research question of significant interest. We consider whether, and how, the way in which th...
    Cristian Danescu-Niculescu-Mizil, Justin Cheng, Jo...
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    SDM
    2012
    SIAM
    305views Data Mining» more  SDM 2012»
    Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
    11 years 9 months ago
    Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
    Download  nlp.cs.qc.cuny.edu
    Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
    Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
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    SDM
    2012
    SIAM
    252views Data Mining» more  SDM 2012»
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    11 years 9 months ago
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    Download  david.grangier.info
    Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
    Xiaoxiao Shi, Jean-François Paiement, David...
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 9 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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