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    SDM
    2008
    SIAM
    129views Data Mining» more  SDM 2008»
    Statistical Density Prediction in Traffic Networks
    14 years 8 days ago
    Statistical Density Prediction in Traffic Networks
    Download  www.dbs.informatik.uni-muenchen.de
    Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
    Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
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    SDM
    2008
    SIAM
    140views Data Mining» more  SDM 2008»
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    14 years 8 days ago
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    Download  wwwiti.cs.uni-magdeburg.de
    Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
    Korinna Bade, Andreas Nürnberger
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    SDM
    2008
    SIAM
    114views Data Mining» more  SDM 2008»
    Semi-Supervised Classification with Universum
    14 years 8 days ago
    Semi-Supervised Classification with Universum
    Download  siam.org
    The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
    Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhan...
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    SDM
    2008
    SIAM
    139views Data Mining» more  SDM 2008»
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    14 years 8 days ago
    Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
    Download  www.comp.nus.edu.sg
    The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
    Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    14 years 8 days ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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