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    KDD
    2008
    ACM
    147views Data Mining» more  KDD 2008»
    Extracting shared subspace for multi-label classification
    14 years 9 months ago
    Extracting shared subspace for multi-label classification
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    Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
    Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
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    KDD
    2008
    ACM
    206views Data Mining» more  KDD 2008»
    Identifying biologically relevant genes via multiple heterogeneous data sources
    14 years 9 months ago
    Identifying biologically relevant genes via multiple heterogeneous data sources
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    Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
    Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
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    KDD
    2008
    ACM
    195views Data Mining» more  KDD 2008»
    Anomaly pattern detection in categorical datasets
    14 years 9 months ago
    Anomaly pattern detection in categorical datasets
    Download  www.cs.cmu.edu
    We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
    Kaustav Das, Jeff G. Schneider, Daniel B. Neill
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    KDD
    2008
    ACM
    264views Data Mining» more  KDD 2008»
    Stable feature selection via dense feature groups
    14 years 9 months ago
    Stable feature selection via dense feature groups
    Download  www.cs.binghamton.edu
    Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
    Lei Yu, Chris H. Q. Ding, Steven Loscalzo
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    KDD
    2007
    ACM
    197views Data Mining» more  KDD 2007»
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    14 years 9 months ago
    Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    Download  www.public.asu.edu
    The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
    Jieping Ye, Shuiwang Ji, Jianhui Chen
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