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    ICMLA
    2008
    138views Machine Learning» more  ICMLA 2008»
    Data Integration for Recommendation Systems
    14 years 11 months ago
    Data Integration for Recommendation Systems
    Download  homepages.dsu.edu
    The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
    Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
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    ICMLA
    2008
    93views Machine Learning» more  ICMLA 2008»
    Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
    14 years 11 months ago
    Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
    Download  user.cs.tu-berlin.de
    In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
    Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
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    ICMLA
    2008
    139views Machine Learning» more  ICMLA 2008»
    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
    14 years 11 months ago
    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
    Download  eprints.pascal-network.org
    In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
    Theodoros Damoulas, Yiming Ying, Mark A. Girolami,...
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    ICMLA
    2008
    113views Machine Learning» more  ICMLA 2008»
    Group Testing in the Development of an Expanded Cancer Staging System
    14 years 11 months ago
    Group Testing in the Development of an Expanded Cancer Staging System
    Download  www.ibe.gwu.edu
    Though the TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients, it is limited in prediction mainly because it does no...
    Dechang Chen, Kai Xing, Donald Henson, Li Sheng
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    ICMLA
    2008
    149views Machine Learning» more  ICMLA 2008»
    Microarray Classification from Several Two-Gene Expression Comparisons
    14 years 11 months ago
    Microarray Classification from Several Two-Gene Expression Comparisons
    Download  www.cis.jhu.edu
    We describe our contribution to the ICMLA2008 "Automated Micro-Array Classification Challenge". The design of our classifier is motivated by the special scenario encounte...
    Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel...
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