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    KDD
    2006
    ACM
    198views Data Mining» more  KDD 2006»
    Event detection from evolution of click-through data
    14 years 8 months ago
    Event detection from evolution of click-through data
    Download  research.microsoft.com
    Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
    Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
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    KDD
    2004
    ACM
    117views Data Mining» more  KDD 2004»
    Predicting customer shopping lists from point-of-sale purchase data
    14 years 8 months ago
    Predicting customer shopping lists from point-of-sale purchase data
    Download  www.accenture.com
    This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
    Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
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    KDD
    2004
    ACM
    154views Data Mining» more  KDD 2004»
    Diagnosing extrapolation: tree-based density estimation
    14 years 8 months ago
    Diagnosing extrapolation: tree-based density estimation
    Download  www.bscb.cornell.edu
    There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
    Giles Hooker
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    VLSID
    2008
    IEEE
    138views VLSI» more  VLSID 2008»
    Memory Architecture Exploration Framework for Cache Based Embedded SOC
    14 years 8 months ago
    Memory Architecture Exploration Framework for Cache Based Embedded SOC
    Download  www.serc.iisc.ernet.in
    Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
    T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
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    SDM
    2009
    SIAM
    394views Data Mining» more  SDM 2009»
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    14 years 4 months ago
    Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
    Download  www.cs.iastate.edu
    Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
    Oksana Yakhnenko, Vasant Honavar
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