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    TMI
    2010
    172views more  TMI 2010»
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    13 years 8 months ago
    Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
    Download  www.loni.ucla.edu
    Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
    Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
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    ESWA
    2007
    176views more  ESWA 2007»
    Credit scoring with a data mining approach based on support vector machines
    13 years 10 months ago
    Credit scoring with a data mining approach based on support vector machines
    Download  nlg.csie.ntu.edu.tw
    The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
    Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 10 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 10 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 10 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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