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    UAI
    2007
    134views Artificial Intelligence» more  UAI 2007»
    "I Can Name that Bayesian Network in Two Matrixes!"
    13 years 9 months ago
    "I Can Name that Bayesian Network in Two Matrixes!"
    Download  sunsite.informatik.rwth-aachen.de
    The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
    Russell Almond
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    KDD
    2009
    ACM
    174views Data Mining» more  KDD 2009»
    Audience selection for on-line brand advertising: privacy-friendly social network targeting
    14 years 9 months ago
    Audience selection for on-line brand advertising: privacy-friendly social network targeting
    Download  pages.stern.nyu.edu
    This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding ...
    Foster J. Provost, Brian Dalessandro, Rod Hook, Xi...
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    IUI
    2010
    ACM
    164views Software Engineering» more  IUI 2010»
    The why UI: using goal networks to improve user interfaces
    14 years 5 months ago
    The why UI: using goal networks to improve user interfaces
    Download  web.media.mit.edu
    People interact with interfaces to accomplish goals, and knowledge about human goals can be useful for building intelligent user interfaces. We suggest that modeling high, human-l...
    Dustin Arthur Smith, Henry Lieberman
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    KDD
    2008
    ACM
    259views Data Mining» more  KDD 2008»
    Using ghost edges for classification in sparsely labeled networks
    14 years 9 months ago
    Using ghost edges for classification in sparsely labeled networks
    Download  reality.media.mit.edu
    We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
    Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
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    KDD
    2007
    ACM
    159views Data Mining» more  KDD 2007»
    Domain-constrained semi-supervised mining of tracking models in sensor networks
    14 years 9 months ago
    Domain-constrained semi-supervised mining of tracking models in sensor networks
    Download  www.cs.ust.hk
    Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
    Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
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