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    ACL
    2010
    129views Computational Linguistics» more  ACL 2010»
    Learning Better Data Representation Using Inference-Driven Metric Learning
    13 years 6 months ago
    Learning Better Data Representation Using Inference-Driven Metric Learning
    Download  www.talukdar.net
    We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
    Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    13 years 8 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
    Download  www.biomedcentral.com
    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    KDD
    2009
    ACM
    180views Data Mining» more  KDD 2009»
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    14 years 8 months ago
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    Download  www.research.rutgers.edu
    Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
    Sofus A. Macskassy
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    APCCM
    2008
    128views Knowledge Management» more  APCCM 2008»
    A Conceptual Model for Multidimensional Data
    13 years 9 months ago
    A Conceptual Model for Multidimensional Data
    Download  crpit.com
    This paper introduces a Conceptual Data Model for Data Warehouse including multidimensional aggregation. It is based on Entity-Relationships data model. The conceptual data model ...
    Anand S. Kamble
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    BMCBI
    2011
    251views Artificial Intelligence» more  BMCBI 2011»
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
    13 years 3 months ago
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
    Download  www.biomedcentral.com
    Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
    Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
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