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    KDD
    2009
    ACM
    249views Data Mining» more  KDD 2009»
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    16 years 7 months ago
    Drosophila gene expression pattern annotation using sparse features and term-term interactions
    Download  www.public.asu.edu
    The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
    Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
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    KDD
    2009
    ACM
    180views Data Mining» more  KDD 2009»
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    16 years 7 months ago
    Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
    Download  www.research.rutgers.edu
    Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
    Sofus A. Macskassy
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    KDD
    2009
    ACM
    191views Data Mining» more  KDD 2009»
    Efficient methods for topic model inference on streaming document collections
    16 years 7 months ago
    Efficient methods for topic model inference on streaming document collections
    Download  www.cs.umass.edu
    Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
    Limin Yao, David M. Mimno, Andrew McCallum
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    MOBIHOC
    2009
    ACM
    109views Computer Networks» more  MOBIHOC 2009»
    Characterizing the exit process of a non-saturated IEEE 802.11 wireless network
    16 years 7 months ago
    Characterizing the exit process of a non-saturated IEEE 802.11 wireless network
    Download  www.it.iitb.ac.in
    In this paper, we consider a non-saturated IEEE 802.11 based wireless network. We use a three-way fixed point to model the node behavior with Bernoulli packet arrivals and determi...
    Punit Rathod, Onkar Dabeer, Abhay Karandikar, Anir...
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    KDD
    2004
    ACM
    150views Data Mining» more  KDD 2004»
    A framework for ontology-driven subspace clustering
    16 years 7 months ago
    A framework for ontology-driven subspace clustering
    Download  www.cs.unc.edu
    Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
    Jinze Liu, Wei Wang 0010, Jiong Yang
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