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    ICPR
    2010
    IEEE
    258views Computer Vision» more  ICPR 2010»
    Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification
    15 years 9 months ago
    Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification
    Download  www.cs.washington.edu
    Natalia Larios, Bilge Soran, Linda Shapiro, Gonzal...
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    CEAS
    2004
    Springer
    88views Internet Technology» more  CEAS 2004»
    Exploring Support Vector Machines and Random Forests for Spam Detection
    15 years 6 months ago
    Exploring Support Vector Machines and Random Forests for Spam Detection
    Download  www.zytek.com
    Gordon Rios, Hongyuan Zha
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    84
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    APBC
    2006
    103views Bioinformatics» more  APBC 2006»
    Structure-Based Chemical Shift Prediction Using Random Forests Non-Linear Regression
    15 years 4 months ago
    Structure-Based Chemical Shift Prediction Using Random Forests Non-Linear Regression
    Download  reports-archive.adm.cs.cmu.edu
    K. Arun, Christopher James Langmead
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    99
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    JBI
    2004
    92views Bioinformatics» more  JBI 2004»
    Variable Selection from Random Forests: Application to Gene Expression Data
    15 years 4 months ago
    Variable Selection from Random Forests: Application to Gene Expression Data
    Download  ligarto.org
    Ramón Díaz-Uriarte
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    119
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    BMCBI
    2008
    179views more  BMCBI 2008»
    Building pathway clusters from Random Forests classification using class votes
    15 years 2 months ago
    Building pathway clusters from Random Forests classification using class votes
    Download  www.biomedcentral.com
    Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
    Herbert Pang, Hongyu Zhao
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