Sciweavers

    5046 search results - page 20 / 1010
    » Feature Selection from Huge Feature Sets
    Sort
    View
    SPLC
    2008
    115views Software Engineering» more  SPLC 2008»
    Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
    13 years 8 months ago
    Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
    Download  www.dre.vanderbilt.edu
    Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
    Jules White, B. Doughtery, Douglas C. Schmidt
    claim paper
    Read More »
    DAGSTUHL
    2009
    157views Software Engineering» more  DAGSTUHL 2009»
    Advances in Feature Selection with Mutual Information
    13 years 8 months ago
    Advances in Feature Selection with Mutual Information
    Download  www.dice.ucl.ac.be
    The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
    Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
    claim paper
    Read More »
    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 7 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    Download  www.biomedcentral.com
    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
    claim paper
    Read More »
    CSDA
    2008
    126views more  CSDA 2008»
    A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
    13 years 7 months ago
    A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
    Download  n.molinari.free.fr
    Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
    Christelle Reynès, Robert Sabatier, Nicolas...
    claim paper
    Read More »
    ACL
    2009
    181views Computational Linguistics» more  ACL 2009»
    A Framework of Feature Selection Methods for Text Categorization
    13 years 5 months ago
    A Framework of Feature Selection Methods for Text Categorization
    Download  www.aclweb.org
    In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
    Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.