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    KDD
    2012
    ACM
    207views Data Mining» more  KDD 2012»
    Robust multi-task feature learning
    11 years 8 months ago
    Robust multi-task feature learning
    Download  www.public.asu.edu
    Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
    Pinghua Gong, Jieping Ye, Changshui Zhang
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    SPAA
    2012
    ACM
    214views Distributed And Parallel Com...» more  SPAA 2012»
    Memory-mapping support for reducer hyperobjects
    11 years 8 months ago
    Memory-mapping support for reducer hyperobjects
    Download  people.csail.mit.edu
    hyperobjects (reducers) provide a linguistic abstraction for dynamic multithreading that allows different branches of a parallel program to maintain coordinated local views of the...
    I.-Ting Angelina Lee, Aamir Shafi, Charles E. Leis...
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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 8 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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    EDBT
    2012
    ACM
    291views Database» more  EDBT 2012»
    Relevance search in heterogeneous networks
    11 years 8 months ago
    Relevance search in heterogeneous networks
    Download  www.edbt.org
    Conventional research on similarity search focuses on measuring the similarity between objects with the same type. However, in many real-world applications, we need to measure the...
    Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie...
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    BMCBI
    2007
    200views more  BMCBI 2007»
    Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data
    13 years 6 months ago
    Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data
    Download  www.biomedcentral.com
    Background: Genomic deletions and duplications are important in the pathogenesis of diseases, such as cancer and mental retardation, and have recently been shown to occur frequent...
    Ágnes Baross, Allen D. Delaney, H. Irene Li...
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