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    ICONIP
    2008
    81views Information Technology» more  ICONIP 2008»
    Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
    13 years 9 months ago
    Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
    Download  ani.www.techfak.uni-bielefeld.de
    Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
    Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 9 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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    PR
    2008
    129views more  PR 2008»
    A comparison of generalized linear discriminant analysis algorithms
    13 years 7 months ago
    A comparison of generalized linear discriminant analysis algorithms
    Download  www.cc.gatech.edu
    7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
    Cheong Hee Park, Haesun Park
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    13 years 9 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    JMLR
    2010
    144views more  JMLR 2010»
    Practical Approaches to Principal Component Analysis in the Presence of Missing Values
    13 years 2 months ago
    Practical Approaches to Principal Component Analysis in the Presence of Missing Values
    Download  jmlr.csail.mit.edu
    Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
    Alexander Ilin, Tapani Raiko
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