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    WSDM
    2009
    ACM
    140views Data Mining» more  WSDM 2009»
    Effective latent space graph-based re-ranking model with global consistency
    14 years 2 months ago
    Effective latent space graph-based re-ranking model with global consistency
    Download  www.wsdm2009.org
    Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
    Hongbo Deng, Michael R. Lyu, Irwin King
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    KI
    2007
    Springer
    123views Artificial Intelligence» more  KI 2007»
    Relational Exploration - Reconciling Plato and Aristotle
    14 years 1 months ago
    Relational Exploration - Reconciling Plato and Aristotle
    Download  sunsite.informatik.rwth-aachen.de
    Abstract. We provide an interactive method for knowledge acquisition combining approaches from description logic and formal concept analysis. Based on present data, hypothetical ru...
    Sebastian Rudolph
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    KDD
    2009
    ACM
    156views Data Mining» more  KDD 2009»
    Effective multi-label active learning for text classification
    14 years 8 months ago
    Effective multi-label active learning for text classification
    Download  research.microsoft.com
    Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
    Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
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    KDD
    2009
    ACM
    132views Data Mining» more  KDD 2009»
    Learning patterns in the dynamics of biological networks
    14 years 8 months ago
    Learning patterns in the dynamics of biological networks
    Download  www-ai.cs.uni-dortmund.de
    Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
    Chang Hun You, Lawrence B. Holder, Diane J. Cook
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    ICML
    2003
    IEEE
    129views Machine Learning» more  ICML 2003»
    Learning on the Test Data: Leveraging Unseen Features
    14 years 8 months ago
    Learning on the Test Data: Leveraging Unseen Features
    Download  www.cis.upenn.edu
    This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
    Benjamin Taskar, Ming Fai Wong, Daphne Koller
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