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    ICDM
    2009
    IEEE
    172views Data Mining» more  ICDM 2009»
    Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
    15 years 5 months ago
    Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
    Download  www.cse.ohio-state.edu
    —We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
    Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
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    SEAA
    2008
    IEEE
    167views Software Engineering» more  SEAA 2008»
    Requirements Prioritization Based on Benefit and Cost Prediction: A Method Classification Framework
    15 years 5 months ago
    Requirements Prioritization Based on Benefit and Cost Prediction: A Method Classification Framework
    Download  eprints.eemcs.utwente.nl
    In early phases of the software development process, requirements prioritization necessarily relies on the specified requirements and on predictions of benefit and cost of individ...
    Maya Daneva, Andrea Herrmann
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    ALPIT
    2007
    IEEE
    149views Internet Technology» more  ALPIT 2007»
    Model Driven and Service Oriented Enterprise Integration---The Method, Framework and Platform
    15 years 5 months ago
    Model Driven and Service Oriented Enterprise Integration---The Method, Framework and Platform
    Download  www.simflow.net
    SOA and MDA have emerged as a major evolutionary step in enterprise integration. Significant advances have been seen in SOA and MDA. But the integration of SOA and MDA is still la...
    Shuangxi Huang, Yushun Fan
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    ICIP
    2007
    IEEE
    126views Image Processing» more  ICIP 2007»
    A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods
    16 years 20 days ago
    A Machine Learning Framework for Adaptive Combination of Signal Denoising Methods
    Download  www.cns.nyu.edu
    David K. Hammond, Eero P. Simoncelli
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    14 years 11 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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